Keras cnn example jobs

I need a freelancer to design and implement a Long Short-Term Memory (LSTM) model to analyze my training and test data, which i...in fully labeled CSV files. The goal of this project is to maximize the True Positive Rate. Key Responsibilities: - Develop an LSTM model using the provided CSV files. - Optimize the model to achieve the highest possible True Positive Rate. Skills and Experience: - Expertise in machine learning, specifically with LSTM models. - Proficiency in Python and relevant libraries (e.g., TensorFlow, Keras). - Experience with data analysis and optimization techniques. - Strong understanding of True Positive Rate and its significance in model evaluation. Please note, the data does not require any preprocessing. It is fully labeled and does not contain any missi...

I'm looking for a graphic designer who can create a series of inspirational quotes, tailored for social media. The project is titled 'hidup keras', which translates to 'hard life' in English. This title serves as a theme, suggesting that the quotes should resonate with people facing challenges and looking for motivation. Key Responsibilities: - Design visually appealing graphics featuring inspirational quotes. - Ensure the quotes are suitable for various social media platforms. - Maintain a consistent aesthetic throughout the project. Ideal Skills: - Proficient in graphic design software. - Strong understanding of social media trends and aesthetics. - Ability to convey deep emotions through design. Please provide samples of your previous work with inspi...

I'm seeking an experienced data scientist with LSTM (Long Short-Term Memory) model expertise to help me develop an anomaly detection system. The model will be analyzing the movement data of dogs, specifically looking for an...develop an anomaly detection system. The model will be analyzing the movement data of dogs, specifically looking for any unusual patterns or behaviours. Key details: - The data is stored in CSV files. - The primary purpose of the model is to identify anomalies in the movement of dogs. Ideal skills and experience: - Proficient in Python and its data science libraries (Pandas, NumPy, TensorFlow, Keras). - Extensive experience with LSTM models and anomaly detection. - Strong understanding of working with time series data. - Experience in handling and proces...

...experience in Machine Learning to design and deliver a practical 12-week course aimed at participants who want to acquire market-ready skills. Proven expertise in Machine Learning, especially in areas such as predictive modeling, data processing, and supervised/unsupervised learning. Previous experience as a trainer or course designer (online or in-person). Proficiency in tools like Python, TensorFlow, Keras, Scikit-learn, or similar. Ability to clearly explain complex concepts in a practical and approachable manner. Strong teaching skills and a focus on active learning. Must be fluent in Spanish (spoken and written). Design a 12-week structured course with theoretical and hands-on modules. Provide real-world examples and practical projects to ensure skill application. Optiona...

I'm in need of a seasoned AI developer to build an advanced software so...incorporate a user-friendly interface into the solution. Specifics of the Project: - The AI solution needs to be compatible with Whole Slide Images (WSI). - The training of the AI model will be conducted using raw images without annotations. Ideal Skills and Experience: - Deep Learning Frameworks: The ideal candidate will have a strong background in using frameworks such as TensorFlow, PyTorch, or Keras. - Model Development: Hands-on experience with Convolutional Neural Networks (CNNs) and Transfer Learning is a must. - UI/UX Design: Prior experience in user interface design is an advantage. This project is a unique opportunity to contribute to a critical health solution, and I look forward to seeing ...

This is for a food catering service. Looking at the logo should evoke a craving and create an irresistible urge to order the food. I want the logo to look very similar to the example provided. The main difference is that instead of "YummyPella," it needs to say "YummyPaella" with an "a" between P and e. Maintain the current look and feel. Additionally, create a version of the logo that includes only the letter "Y" and the shrimp on top. The deliverables include both logos in HD, in photoshop with layers and a version in black and another in white.

I am seeking a skilled freelancer to develop an Indian Sign Language (ISL) translation system. The objective of this project is to create a robust machine learning model, preferably a Convolutional Neural Network (CNN), capable of translating ISL gestures and providing real-time inference functionality. Additionally, the project should include a comprehensive report detailing the methodology, model architecture, data processing, and final results. Project Deliverables: Python Code: Complete and well-documented Python code for the ISL translation model as well as for its infernce . Live Inference Capability: A functional setup for real-time inference that demonstrates the model’s capability to translate ISL gestures live. Comprehensive Report: A detailed report including: Pro...

I'm seeking an experienced mobile app developer and machine learning expert to create an Android app integrated with a CNN-based own made ML model. This app will assess the severity of diabetic retinopathy using a pre-existing dataset from Kaggle. Key Features: - The app must be able to rate the severity of diabetic retinopathy from user-uploaded images. - It should include an image upload history feature for users to track their past uploads. Ideal Skills: - Proficiency in Android app development. - Extensive experience with Convolutional Neural Networks (CNN) and machine learning. - Previous work on integrating ML models into mobile apps is a plus. Please provide examples of your prior work that align with this project.

...representative samples of various objects and conditions. 2. Preprocessing Pipeline: - Develop a robust preprocessing pipeline to clean, augment, and prepare the dataset for training. - Implement techniques such as normalization, resizing, and data augmentation to enhance model performance. 3. Model Training: - Select and implement appropriate object detection algorithms (e.g., YOLO, SSD, Faster R-CNN). - Train the model using the preprocessed dataset and optimize hyperparameters for improved accuracy and efficiency. 4. Testing and Validation: - Conduct thorough testing of the trained model to evaluate its performance. - Use metrics such as precision, recall, and F1-score to assess the model's effectiveness. - Perform validation on a separate dataset ...

I am looking for a data scientist and a writer with experience in machine learning, particularly with Bi-directional LSTM deep learning algorithms. Your task will be to write an article suitable for journal publication on air pollution prediction using PM2.5 ...should be as beginner friendly as possible to avoid suspision. the journal/article should be published in websites where more b tech final year students upload their article not on some international websites except google scholar,springer,etc should be completed within a time span of 20 days Ideal candidates will have: - Proficiency in Python and familiarity with libraries such as TensorFlow or Keras. - Experience with data visualization tools. - Strong academic writing skills. - Previous publication in a scientific journal ...

I am seeking a skilled freelancer to develop an Indian Sign Language (ISL) translation system. The objective of this project is to create a robust machine learning model, preferably a Convolutional Neural Network (CNN), capable of translating ISL gestures and providing real-time inference functionality. Additionally, the project should include a comprehensive report detailing the methodology, model architecture, data processing, and final results. Project Deliverables: Python Code: Complete and well-documented Python code for the ISL translation model as well as for its infernce . Live Inference Capability: A functional setup for real-time inference that demonstrates the model’s capability to translate ISL gestures live. Comprehensive Report: A detailed report including: Pro...

Question: NaN Error During Gradient Calculation in CycleGAN Training; How to solve this Description: Hello, I am a master’s student in the Department of Electrical and Electronic Engineering, working on AI training for image correction (image-to-image transformation) using Python TensorFlow. My current setup involves training a CNN with CycleGAN. I am encountering an issue during training. Specifically: Training setup: 1,500 images, learning rate 2e-4, up to 20 epochs. The issue: During training, the first NaN error occurs when calculating gradients of forward generator and inverse generator both, at epoch 9. This makes others NaN also and training fails. When I set the learning rate to 2e-5, which is smaller, but the error also occurs around epoch 162. What I’m l...

...performance using metrics like accuracy, precision, and recall, comparing results with expert dental evaluations. Dataset: The dataset consists of high-resolution IOPA X-ray images collected from dental clinics, formatted as JPEG/PNG files. Preferred Skills: Experience with Python, TensorFlow, or PyTorch Knowledge of computer vision and medical imaging Familiarity with tools like OpenCV, Keras, or similar frameworks Experience in preprocessing and working with radiographic images is a plus Budget: Open to proposals, looking for a cost-effective solution. Timeline: We expect the project to be completed within 3-5 weeks. Deliverables: A fully functional model for root canal detection Documentation on implementation, usage, and model evaluation Sou...

...Provide detailed mathematical equations or formulations for the customized algorithm and model architecture. We can discuss the specific details of the model and datasets further, along with your proposed approach. Requirements: Proven experience in fine-tuning and customizing ML models. Strong understanding of machine learning framework PyTorch. Ability to implement novel changes to ML models CNN/transformers. Please provide examples of relevant past work or projects you've completed. Task 0 Hierarchical multimodal transformers for Multi-Page DocVQA GRAM: Global Reasoning for Multi-Page VQA image newspaper dataset(will share link later) Task 1 Till now when we give input embeddings to the transformers they just go parallel they don't relate with each other. We wa...

I'm seeking an expert in computer science and CNN image processing for the publication of a paper. The focus will be on image classification techniques applied to medical imaging. Key Requirements: - Expertise in Convolutional Neural Networks (CNN) and image classification. - Experience in the field of medical imaging. - Strong research and academic writing skills. - Previous experience with paper publication is preferred. The ideal candidate would be able to develop innovative CNN-based image classification methods for medical imaging, potentially for applications like tumor detection or organ segmentation. Creativity and a deep understanding of CNNs and medical imaging are key to this project's success.

...footage analysis would be highly beneficial - Understanding of real-time processing and recognition systems   Preferred following services: ·        YOLO v8 and higher in Human and Object Detection ·        CNN Models (Convolution Neural Network) ·        Face Detection / Recognition ·        OpenCV Trackers ·        Faster RCNN ·        API Designing ·        Model Deployment   Tools/Platforms to be used:   ·    &n...

...modify some existing GitHub code into a single, error-free Colab file. The project involves creating a fully functional text summarization system using the T5/bert transformer model, with both copying and coverage mechanisms. Key project details include: - Utilizing the CNN/DailyMail dataset for training and testing - Implementing ROUGE and BLEU as evaluation metrics Ideal candidates should have prior experience with transformer models, specifically T5/bert, and be proficient in Python and TensorFlow. Familiarity with the CNN/DailyMail dataset and the evaluation metrics mentioned will be a significant advantage. The goal is a fully operational, cleanly organized codebase that runs smoothly on Google Colab. Please include performance optimization to ensure fast an...

I'm seeking a skilled Python developer to help with web scraping from various news sites. The objective is to gather headlines and articles on a daily basis. Key Require...Experience with error handling and retries in web scraping tasks - Ability to integrate and retrieve data from APIs if scraping fails - Proficiency in data cleaning and normalization - Knowledge of scheduling scraping jobs using tools like cron - Knowledge of using proxies to prevent IP blocking Please include examples of relevant past projects in your bid. Please scrape from major news sites like CNN, BBC, and Reuters and Tech news sites as well when sending bid please send your approach to this problem i have around 20-30 sites for which i want a cron to run in flash everyday scrap the main content of ...

I'm looking for a website designer who can create a multi-page layout similar to Example A, specifically incorporating its layout structure. Key Requirements: - Ability to mimic the layout structure of Example A - Expertise in multi-page website design - Familiarity with responsive design principles to ensure the site is mobile-friendly Ideal Skills and Experience: - Proven track record of website design - Strong understanding of layout structures and design principles - Ability to deliver high-quality, visually appealing designs

I'm in need of a seasoned Data Scientist and Machine Learning Engineer to help me with the analysis and modeling of time-series data. Your primary responsibilities will involve: - Working with time-series data - Conducting forecasting analysis - Preprocessing time-series data to ensure qual...analysis and results - Documenting all steps and methods used in the analysis Ideal candidates should have: - Research level experience in data science and machine learning - Proven track record in handling time-series data - Expertise in forecasting - Ability to work independently and deliver quality results within deadlines Note: we want Models other than these basic models(LSTM, GRU, XGboost,CNN,RNN, etc or any low performance models) Please provide examples of previous relevant wo...

I want to create a few lines of code related to a PineScript TradingView strategy based on one TradingView indicator. Basically, I need the and the based on conditions that I will provide. Please, only answer if you have experience in TradingView and PineScript.

...expert to develop an application that processes and analyzes RAMAN spectra using a Convolutional Neural Network (CNN). This application should include specific preprocessing steps and be able to identify compounds from the spectra. Key Requirements: - Develop a MATLAB application for RAMAN spectra analysis. - Use a Convolutional Neural Network (CNN) for the analysis. - Implement preprocessing steps including baseline correction, noise reduction, and peak normalization. - The output of the application should be the identification of compounds from the RAMAN spectra. Ideal Skills and Experience: - Strong proficiency in MATLAB. - Extensive experience with Convolutional Neural Networks (CNN). - Familiarity with RAMAN spectroscopy. - Proven track record in developing s...

Spyglas,VCS,DC,DFT,Verdi,Catapult,Synplify,VerilogXL,Virtuoso,Xcelium,Spectre,Allegro,Vivado,Quartus,ModleSim, Matlab,Octave,Signal Generator,Logic Analyzer,Anaconda,Tensorflow,Keras,Darknet ,notepad++. Language mastery: Verilog,SystemVerilog,UVM,C,C++,VHDL,Python,Firmware etc. Familiar with using: Linux, Windows,Unix,MS-DOS,FreeRTOS. PreviousFields: AISC/IP/IC design,SOC design/verification,FPGA Design/Verification and debugging,AI (especially deep learning),complex digital systems,complex communication systems,mixed digital and analog systems. Work experience focused in Beijing China 5+ years of ASIC experience and 10+ years of FPGA experience, experienced Senior Technical Lead with a demonstrated history of working in the semiconductors industry. Part of 5+ tape outs....

I'm seeking an expert in machine learning to design a ML model to predict milk production yield. Please refer to the dataset, before the dataset: Cow images for milk yield prediction, Kaggle: awrencejembere/cow-images-for-milk-yield-p...seeking an expert in machine learning to design a ML model to predict milk production yield. Please refer to the dataset, before the dataset: Cow images for milk yield prediction, Kaggle: awrencejembere/cow-images-for-milk-yield-prediction. I just need to design a 2 ML models to predict yield: 1 is for the side's images and one for the rear images. Notes: - you can use VGG, Res-Net, Google Net, CNN. - Different plots analysis should be presented with explaining the befits of them. - Steps should be explained. - Evaluate the results with...

I'm looking for an expert in PyTorch and Detectron2 who can help me with masking people and vehicles in images. The main tasks are: - Utilize the 6 New Baselines with LSJ and Rxx-FPN from the model zoo. - Implement the object detection and segmentation model to mask persons and vehicles in a given dataset. - Ensure the model is accurately detecting and masking the persons and vehicles. W...detecting and masking the persons and vehicles. We will use the pretrained models. The ideal freelancer would have extensive experience with Detectron2, PyTorch, and object detection. Once everything runs local, it shall be proted to gcp cloud run services. A cloud run service is allready functional, but with another pretrained model, basing on yaml (COCO Instance Segmentation Baselines with Mas...

I am looking for a freelancer who can help me with the segmentation and classification of 3D brain tumors in MR images using deep learning. I prefer to use a Convolutional Neural Network (CNN) for this project. I already have a specific dataset in mind, so the freelancer can use that for the project. The required performance metric for the model is accuracy. I am looking for someone with experience in deep learning, specifically with CNNs and medical image analysis. The ideal candidate should have knowledge and experience in the following areas: - Convolutional Neural Networks (CNN) - Medical image analysis - Python programming language - TensorFlow or PyTorch framework - Experience in data preprocessing to clean and prepare medical MR images for analysis. - Knowledge of var...

I'm looking for an expert in deep learning and CNNs to train and test a 1D CNN model with task-based EEG data. The primary goal of this project is to analyze epilepsy seizure events using this model. Key Responsibilities: - Preprocess and analyze the provided EEG data from task-based activities. - Train and test a 1D CNN model on this data. - Interpret the results and provide insights on the model's performance in detecting seizure events. Ideal Skills: - Proficiency in deep learning, particularly with CNNs. - Experience with EEG data analysis. - Strong programming skills in Python or similar language. - Ability to interpret complex data and provide clear insights.

...data. Provide clear documentation of the model development process, including data preprocessing, model architecture, and evaluation. Collaborate with our team to integrate the prediction model into a gold trading website. Requirements: Proven experience in machine learning and deep learning, specifically in time-series forecasting. Proficiency in Python and libraries such as TensorFlow, PyTorch, Keras, or equivalent. Experience with financial or commodity price prediction models is a plus. Strong knowledge of data preprocessing techniques for time-series data. Ability to explain and document technical concepts clearly. Familiarity with concepts like LSTM, GRU, or SGRU is preferred. Strong problem-solving skills and attention to detail. Deliverables: A trained and validated gol...

I am seeking a deep learning expert to improve and train a deep learning CNN model that learns from a labeled 2d image dataset. Each example contains a transmission signal image as data and a received signal image as label. Model should learn the relations between the data and labels and should be able to predict the received grid when given a new input transmission signal image. - Training Dataset is available. - A untrained base CNN model is also available. The final goal is to modify and train this model so that it can predict received signal images with high accuracy (very less mean square error).

...(e.g., press releases, new articles, speeches, and comments) from 255 hospitals from both conventional media and official hospital website during 2016-2022. The conventional media consisted of newspapers and business magazines which can use Google News to search 10 preeminent sources in the USA including ABC News, New York Times, Reuters, USA Today, Fox News, Wall Street Journal, Washington Post, CNN, Economist, and Forbes. Requirements: 1. Extract data from the specified news sources. 2. Collect news information that mention the hospital name, either in the news title or content. 3. The final output file must include the following columns: - News source - Hospital name - News title - Publication date - Author name - News content - News URL 4. For data organizatio...

...representative samples of various objects and conditions. 2. Preprocessing Pipeline:   - Develop a robust preprocessing pipeline to clean, augment, and prepare the dataset for training.   - Implement techniques such as normalization, resizing, and data augmentation to enhance model performance. 3. Model Training:   - Select and implement appropriate object detection algorithms (e.g., YOLO, SSD, Faster R-CNN).   - Train the model using the preprocessed dataset and optimize hyperparameters for improved accuracy and efficiency. 4. Testing and Validation:   - Conduct thorough testing of the trained model to evaluate its performance.   - Use metrics such as precision, recall, and F1-score to assess the model's effecti...

Need to create a new website this is my current website and this is example I want the same Quality like example all graphics needs to be like the example as well write " GREEN " in your bid if u can do

I'm looking for an expert in neural networks for a predictive modeling project. The focus will be on working with structured data, specifically tabular data. The ultimate goal is to develop a model that can generate regression values. Ideal Skills: - Proficiency in neural networks and predictive modeling - Experience with structur...modeling project. The focus will be on working with structured data, specifically tabular data. The ultimate goal is to develop a model that can generate regression values. Ideal Skills: - Proficiency in neural networks and predictive modeling - Experience with structured, tabular data - Skills in generating and interpreting regression values - Familiarity with Python and libraries like TensorFlow or Keras - Strong statistical analysis and problem...

...through experimentation, hyperparameter tuning, and model evaluation Stay updated with the latest AI and machine learning research trends to apply cutting-edge technologies and techniques. Implement best practices in coding, version control, and continuous integration for AI/ML projects. Required Skills & Qualifications: Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn). Troubleshoot and resolve issues related to machine learning models and AI applications Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field Strong proficiency in programming languages such as Python, Java, or C++ Solid understanding of AI techniques, including supervised and unsupervised learning, reinforcement ...

...through experimentation, hyperparameter tuning, and model evaluation Stay updated with the latest AI and machine learning research trends to apply cutting-edge technologies and techniques. Implement best practices in coding, version control, and continuous integration for AI/ML projects. Required Skills & Qualifications: Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn). Troubleshoot and resolve issues related to machine learning models and AI applications Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field Strong proficiency in programming languages such as Python, Java, or C++ Solid understanding of AI techniques, including supervised and unsupervised learning, reinforcement ...

I'm in need of a specialist who can integrate PayPal for marketplaces into my website or app. Your expertise should not just be in PayPal Business, but specifically in the intricacies of PayPal for Marketplace. I will need to see an example in your proposal where you have done this, otherwise please don’t apply I will not reply to your proposal.

I'm in need of a seasoned AI developer to build an advanced software so...incorporate a user-friendly interface into the solution. Specifics of the Project: - The AI solution needs to be compatible with Whole Slide Images (WSI). - The training of the AI model will be conducted using raw images without annotations. Ideal Skills and Experience: - Deep Learning Frameworks: The ideal candidate will have a strong background in using frameworks such as TensorFlow, PyTorch, or Keras. - Model Development: Hands-on experience with Convolutional Neural Networks (CNNs) and Transfer Learning is a must. - UI/UX Design: Prior experience in user interface design is an advantage. This project is a unique opportunity to contribute to a critical health solution, and I look forward to seeing ...

...unbalanced MRI images and I'm looking to enhance this dataset to achieve balance. The aim is to apply various deep learning models such as CNN, INCEPTIONV3, RESNET50, and VGG19. Ultimately, I want to implement a majority voting system and create a generative AI based on the model with the most i dont want any such hectic codes just basics so that good accuracy be achived. Key Requirements: - Data Preprocessing: Initially, the dataset has been built on an unbalanced set of images. Preprocessing steps such as normalization and augmentation have been applied. - Model Training: The primary goal is to improve model accuracy by utilizing different CNN architectures. - Majority Voting: Implement a system for majority voting based on the models' performances. - Gener...

...By leveraging OCR and Machine Learning, we aim to reduce manual data entry errors, improve efficiency, and create structured outputs for seamless ERP integration. Objectives - Scan Supplier Invoices: Develop a system that can accept scanned images or PDFs of supplier invoices. - Data Extraction: Utilize OCR with Machine Learning to accurately extract key information from the invoices, For example: - Vendor Name - Invoice Number - Invoice Date - Total Amount - Line Items (Description, Quantity, Price) - Tax details - Other details - Output Format: Generate structured output files in both CSV and XML formats for easy import into our ERP system. - Error Handling: Implement validation checks to ensure data accuracy and flag any discrepancies for review. - User Interfa...

I need a personalized training for 10th grade high school student on Convolutional Neural Networks (CNN) and Image Classification in Python. The main goal of this training is to implement a simple project: object detection and classification with custom images. Key Requirements: - Expertise in teaching CNN and Image Classification - Proficiency in Python - Experience in guiding project implementation - Ability to tailor lessons for a 10th grade student The ideal freelancer for this project should be able to make complex concepts accessible and enjoyable for a high school student. Your role will be to guide the student through the project, helping them to understand the necessary concepts and how to apply them in Python. You will work with the student to create a custom dat...

I need a freelancer to work with the Fashion Mnist dataset and improve the performance of a predefined simple CNN model. The task involves running the model as is, recording the accuracy, and then making improvements to enhance the performance. Ideal Skills and Experience: - Strong background in Convolutional Neural Networks (CNN) - Experience with the Fashion Mnist dataset - Proficiency in Python and relevant ML libraries - Good understanding of model evaluation metrics - Ability to explain technical concepts clearly Requirements: - Run the initial model and record accuracy - Modify the model, training regimen, or data augmentation to boost performance - Provide a clear, step-by-step explanation of the modifications made and the reasoning behind them, both as written docu...

I have a dataset consisting of integers and I need a proficient deep learning professional to assist me in developing a model that can predict 8 binary labels based on 26 numerical features. The model should achieve an accuracy of at least 90%. I prefer the use of a ResNet model for this task. Key Requirements: - Justification for the choice of the deep learning mod...communication I have specific steps for preprocessing this dataset. The steps include normalization, standardization, feature engineering, and general data preprocessing. Hence, I am not in need of suggestions nor will I handle the preprocessing myself. Please note, there is no preferred framework for this project. Your expertise in any deep learning framework such as TensorFlow, PyTorch or Keras will be greatly ap...

Project Description: I am looking for a designer to create a badge/stamp based on the provided example. The stamp will be used on a website to highlight the quality and popularity of a product. Requirements: The stamp must include the following German slogan: “Empfohlen von tausenden Käufern aus Deutschland und Österreich” The design must incorporate two flags: German flag Austrian flag The badge should be visually appealing, professional, and suitable for use on a website. Final files should be delivered in the following formats: PNG (with transparency), JPG, and a vector format (e.g., SVG or AI). Additional Information: I will provide an example design for inspiration. The badge should convey professionalism and trustworthiness to website visitors....

I'm ...project that translates hand gestures into text using American Sign Language (ASL). The software needs to recognize both static and dynamic gestures. Key Requirements: - Proficient in Python with a strong understanding of GUI development - Experience with gesture recognition software - Understanding of American Sign Language (ASL) is a plus - Able to develop software compatible with Windows Use CNN model Gaussian filter Your task will be to deliver a user-friendly interface that seamlessly translates hand gestures into text. Ideally, you'd have a portfolio showcasing similar projects, particularly those involving gesture recognition or ASL. The GUI should be developed using Tkinter. The GUI should provide real-time feedback to users. The software should output t...

I need assistance in getting my book, "The Opposite of Love" by Vicki Mills, into the hands of TV hosts on CNN and MSNBC. It provides a unique perspective on the country's upcoming challenges over the next 4 years. Key Tasks: - Find and contact a literary agent specializing in political books. - Acquire phone numbers and email addresses of relevant TV hosts. - Craft a compelling pitch or cover letter for the book. Ideal Skills: - Experience with TV media placements. - Strong background in political literature. - Proven track record of successful book promotions. If you're a seasoned agent finder with a knack for media placements and political books, I would love to work with you. Thank you.

thank you for being here; Here is code Would appreciate if this could be done within 2 hours, and ideally we can keep the hourly budget to a maximum of $10. I'm hoping this can be a quick task, so that we can establish a good working relationship and potentially collaborate in the future. terraform apply runs If aws vars are ready “use them” and "run code" and "proceed" if not then check If vault vars are ready “use them” ” and "run code" and "proceed" If neither vault or aws vars exist then exit Would appreciate if this could be done within 2 hours, and ideally we can keep the hourly budget to a maximum of $10. I'm hoping this can be a quick task, so that we can establish a good working relationship...

I'm seeking an expert in yield prediction specifically focused on the dairy sector. The aim of the project is to devise a model predicting milk production yield. The dataset: Cow images for milk yield prediction, Kaggle: awrencejembere/cow-images-for-milk-yield-prediction I just need to design a 2 ML models to predict yield: 1 is for the sides images and one f...prediction specifically focused on the dairy sector. The aim of the project is to devise a model predicting milk production yield. The dataset: Cow images for milk yield prediction, Kaggle: awrencejembere/cow-images-for-milk-yield-prediction I just need to design a 2 ML models to predict yield: 1 is for the sides images and one for the rear images. Matlab only. you can use VGG, Res-Net, Google Net, CNN Steps shou...

...years of professional experience in computer vision, with a proven track record of working on complex image processing and ML projects. 2. Programming Skills: Proficient in programming languages such as Python, C++, and MATLAB. Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. 3. Algorithm Expertise: Strong understanding of computer vision algorithms and techniques, including but not limited to convolutional neural networks (CNNs), object detection (e.g., YOLO, Faster R-CNN), image segmentation (e.g., U-Net), and feature extraction. 4. AI/ML Knowledge: In-depth knowledge of machine learning principles and experience with supervised, unsupervised, and reinforcement learning. 5. Data Handling: Experience in handling and processing large datasets, i...

...years of professional experience in computer vision, with a proven track record of working on complex image processing and ML projects. 2. Programming Skills: Proficient in programming languages such as Python, C++, and MATLAB. Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. 3. Algorithm Expertise: Strong understanding of computer vision algorithms and techniques, including but not limited to convolutional neural networks (CNNs), object detection (e.g., YOLO, Faster R-CNN), image segmentation (e.g., U-Net), and feature extraction. 4. AI/ML Knowledge: In-depth knowledge of machine learning principles and experience with supervised, unsupervised, and reinforcement learning. 5. Data Handling: Experience in handling and processing large datasets, i...

I need a deep learning specialist who can help me implement a surrogate model based on a research paper, but using a different dataset. This project will involve: - Utilizing both MATLAB and Python (Spyder) programming environments. ...a different dataset. This project will involve: - Utilizing both MATLAB and Python (Spyder) programming environments. - Employing a custom dataset for model training and validation. - Creating and optimizing scattering parameters using the model. Ideal candidates should have a robust understanding of deep learning frameworks, with preference given to those skilled in TensorFlow, PyTorch, and Keras. Prior experience with surrogate models and custom datasets will be a significant advantage. In short implement paper as it is using different dataset c...