Keras cnn example jobs
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...
I need one Page in Wordpress to be created from an example ! Urgent work only under 12 Hours , please dont bid when you can make it in this time ! Requirements: Rearranging content based on the provided template Adjusting font sizes and colors according to specific instructions Familiarity with web design platforms Elementor Effective communication and adherence to deadlines If you are interested and have the necessary skills, please send me a message with your portfolio and an estimate of the time required for completion. I look forward to your proposals! Price and Time !
...Deployment and Testing Deploy models to Azure Virtual Server. Perform server testing and ensure readiness for live use. Deliverable: Scalable, deployed models. Timeline: 2 days. Key Models Involved Keyword Extraction using Reverse ASIN Analysis: Extract keywords dynamically based on Amazon product ASINs. Includes sentiment classification and relevance ranking. Ad Campaign Optimization: Use CNN-based models for keyword classification (Profitable, Neutral, Non-Profitable). Automate bid suggestions and adjustments using Amazon’s API. Product Listing Optimization: Optimize bulk listings by analyzing performance data and competitor analysis. Enhance listings for better visibility and ad performance. Amazon API Integration API Documentation References: Bidding Rules Them...
...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'm seeking for someone with expertise in deep learning...dataset. The goal is to pinpoint potential biomarkers for early cancer diagnosis. The project does not favor any specific deep learning framework, so proficiency in TensorFlow, PyTorch, or Keras is all welcome. Key Responsibilities: - Analyze multi-omic data including CNV, Methylation, somatic mutation, and gene expression. - Develop a deep neural network architecture to identify potential biomarkers. - Utilize XAI (Explainable Artificial Intelligence) techniques to provide interpretability to the model's predictions. Ideal Skills and Experience: - Proficiency in deep learning frameworks (TensorFlow, PyTorch, Keras). - Experience with multi-omic data analysis. - Background in cancer research is a plus. - K...
I'm looking for a professional who can develop a sophisticated smart security surveillance system. This system should utilize Mask R-CNN for real-time object detection and segmentation from security camera feeds. The primary aim is to detect human figures, and provide alerts for specific suspicious activities such as loitering, intrusion, and vandalism. Key Requirements: - Implement a web dashboard as the visual interface for monitoring. - Use of Mask R-CNN for real-time object detection and segmentation. - Ability to detect human figures from security camera feeds. - System should be capable of alerting for loitering, intrusion, and vandalism. - Ensure the system supports various security camera models and brands. - Incorporate secure user authentication methods to acc...
I'm in n...Optimization: It's crucial to optimize these models for both speed and accuracy, ensuring they can perform in real-time or near-real-time. - API Integration: A user-friendly API will need to be developed for smooth integration of this text extraction system into our applications. Required Skills and Experience: - Strong proficiency in Python and deep learning frameworks such as TensorFlow and Keras is essential. - Prior experience with computer vision and image processing techniques will be beneficial. - A solid understanding of text recognition techniques. - Excellent problem-solving and debugging skills. - Strong collaboration abilities. Please note that the specific image formats the system should support and the primary application for the system have not ...
I am working on an image denoising task using a deep convolutional network, utilizing the JUMP dataset. The focus is on denoising images with unstructured noise. The website for the dataset is: I need someone to conduct a few experiments w...Conduct comparisons across different algorithms. Ideal Skills: - Expertise in deep learning and image processing. - Familiarity with the JUMP dataset. - Experience with evaluating and comparing machine learning models. Please note that while I have not specified which algorithms to experiment with, you will have the freedom to choose from various options, including Convolutional Neural Networks (CNN), Autoencoders, and GANs (Generative Adversarial Networks). I need it within a day( 18 hours max)
Tiger logo like example with KUWA back of it The handle of the Kuwa will be in a reflective silver or silver. The handle tan or light gray. The head of the lion is similar to the picture- reflective black so to stand out on a black t-shirt.
roblem Statement for a Manual Coffee Grinder Hario Skerton Plus Ceramic Coffee Grinder is designed for coffee enthusiasts who value the freshness of hand-ground beans, especially in outdoor settings like camping or hiking. While it is admired for its portable size and manual operation, eliminating the need for electricity, the grinder has several design vulnerabilities when it comes to outdoor utility. Key components of Hario Skerton Plus are displayed in Figure 1, showcasing its current design. It features a cylindrical body made from materials like ceramic for the burrs and a combination of steel and glass for the rest of the structure. Despite these sturdy materials, the grinder’s construction presents issues during transport; its components are sensitive to damage, and the ...
Create an original graphic design based on the provided reference image, featuring a wine bottle and glass silhouette. The design will be cut out of metal and must meet specific aesthetic and technical requirements. Shape: The design should closely resemble a wine bottle and glass with accurate proportions and a refined silhouette. Line Weight: Lines must be bold and consistent, suitable for metal cutting. Intersections: Slight radius or curves at line intersections to ensure durability and manufacturing feasibility. Dimensions: Maximum width of 16 inches, with height proportionally scaled to match. Final graphic is delivered as a PDF file. The design should be black on a white background for easy CAD integration.
I need assistance in calculating the GOPs and parameters of a YoloV8 CNN model using Python on Google Colab.
I'm looking for an expert in CNN and FPGA development. The task is to build a Convolutional Neural Network on a PYNQ Z2 board using Vitis and Vivado's block diagram. Key Requirements: - The CNN will be processing low-resolution images (64x64). - Familiarity and proficiency with the PyTorch library is a must, as this will be the preferred tool for building the CNN. - Extensive experience with the Vitis and Vivado software is required. - Knowledge of FPGA programming and hardware-software co-design is a big plus. I need a professional who can deliver a high-quality CNN implementation on this specific hardware. Please include examples of similar projects you've completed in your bid.
I need help creating written examples in the format of an informative report. Ideal candidates should have experience in report writing and can create engaging, informative content. Please note, I will provide a perfect example and you will learn from it. Your task will be to: - Generate written examples in the format of an informative report - Ensure the examples are not similar to AI generated content Skills Required: - Excellent written communication - Report writing experience - Ability to create engaging content
We need the attached 8 decal images put into a photo collage, like the one we had previously created (image attached) Simple Project.
Experience with machine learning frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn. • Hands-on experience with cloud platforms such as AWS, Azure, or GCP. • Experience in Machine Learning and Neural Network architectures like Ensemble Models, SVM, CNN, RNN, Transformers, etc. • Experience in Natural language processing (NLP) tools: NLTK, Spacy, and Gensim. • Experience in MLOps tools such as Kubeflow, MLflow, or Azure ML. • Knowledge/hands-on experience with workflow tools like Airflow. • Experience with Microservices architecture. • Experience with SQL and NoSQL databases such as MongoDB, Postgres, Neo4j, etc. • Experienced with Rest API python frameworks such as Fast API/Flask/Django. • ...
video editing from giving video data (5minutes) with for example nice zoom effect with some text overlays... video output: colorful and dynamic clip for spa
...Model Training To build a complex and advanced GPU-based training model, especially for deep learning, machine learning, data processing, and performance monitoring, the following libraries are recommended. 1. Deep Learning and Machine Learning Frameworks · • TensorFlow (with GPU support): tensorflow-gpu · • PyTorch (with GPU support): torch, torchvision, torchaudio · • Keras: keras · • XGBoost (with GPU support): xgboost · • LightGBM (with GPU support): lightgbm · &nb...
...Training To build a complex and advanced GPU-based training model, especially for deep learning, machine learning, data processing, and performance monitoring, the following libraries are recommended. 1. Deep Learning and Machine Learning Frameworks · • TensorFlow (with GPU support): tensorflow-gpu · • PyTorch (with GPU support): torch, torchvision, torchaudio · • Keras: keras · • XGBoost (with GPU support): xgboost · • LightGBM (with GPU support): lightgbm · ...
I'm looking for a freelance developer to create an AI-based Customer Relationship Management (CRM) system integrated with TeleCRM and capable of automating our digi...in identifying and categorizing our customer base for tailored marketing. - Digital Marketing Automation: Ultimately, the CRM should automate and provide signal platform for our digital marketing efforts, saving us time and resources. Ideal Skills and Experience: Programming Languages: Python, Java, JavaScript (for front-end), possibly R (for data analysis) AI Frameworks: TensorFlow, PyTorch, Keras Database Technologies: MySQL, PostgreSQL, MongoDB Cloud Computing: AWS, Azure, GCP API Integration: Experience with various APIs to connect different systems Data Science Skills: Data cleaning, feature engineering, m...
I need a skilled Python developer with deep learning experience to run my Keras-based project. Key Responsibilities: - Execute the deep learning project written in Python. - Use Keras as the primary deep learning framework. Ideal Skills: - Proficiency in Python programming. - Extensive experience with Keras. - Knowledge of deep learning concepts. - Ability to troubleshoot and optimize code.
I have raw data that needs to be processed into a ready-to-use dataset for training and testing. Key Requirements: - Cleaning missing values - Removing outliers - Normalizing data - Splitting into training and testing data - Creating a usable dataset Type of Data: - Primarily Numerical data Additional Preprocessing: - Feature scaling Ideal Skills and Experience: - Proficiency in data clea...testing data - Creating a usable dataset Type of Data: - Primarily Numerical data Additional Preprocessing: - Feature scaling Ideal Skills and Experience: - Proficiency in data cleaning and preprocessing - Experience working with numerical data - Familiarity with preparing datasets for machine learning - Skills in feature scaling The dataset should be tailored for a classification model. use ...
...the columns in (3) is a link (“WINNER”) to a webpage that contains the data in columns in (3). I have included the link for columns B, D and F, as examples for all 3 types. You have to find the remaining data. Websites that may be useful (include in the search term) include: 1. Wikipedia 2. 270toWin 3. RealClear Polling 4. FiveThirtyEight 5. Dave Leip’s Atlas of U.S. Presidential Elections 6. CNN Election Archive 7. The New York Times Election Guide 8. American Presidency Project Please tell me how much you would like for each set of 3 election years. Before we talk, tell me how many websites I have listed above. When I hire you, I will immediately pay you (escrow and release) your Freelancer fee and escrow for the first 2 years. When you do ...
...showing stock movements and forecasted changes for various timeframes (1 day, 1 week, 1 year). User Interface Design: Build a responsive, user-friendly UI with search functionality, stock filtering, and clear navigation. Ensure the interface allows seamless exploration of stock data and predictions for weekly decision-making. Requirements: Proficiency in Python and ML frameworks like TensorFlow/Keras for AI model development. Experience with financial data APIs (Yahoo Finance, Alpha Vantage). Strong skills in frontend development (HTML, CSS, JavaScript) to design an intuitive UI. Familiarity with stock trading concepts and financial market analysis. Preferred Skills: Experience in time-series forecasting models, particularly LSTM for weekly stock predictions. Knowledge of data ...
I'm conducting research and need a real example of a bound eSIM profile package from a US mobile operator. This could be from AT&T, Verizon, or T-Mobile. The package should be one that has been downloaded onto an Android smartphone, not a test package. Ideal Skills and Experience: - Access to an eSIM capable Android smartphone - Ability to download and identify the correct eSIM package - Understanding of eSIM technology and Android systems The package does not need to be activated and will be encrypted. So, I would not be able to read the encrypted contents (like IMSI and key K), but I will be able to read the metadata. Understanding the metadata for an operator eSIM profile is what I am interested in seeing. You can download these eSIM profiles over the Internet and...
...performing data augmentation to increase dataset diversity and improve generalization. Feature Extraction: Utilize deep learning architectures (e.g., Convolutional Neural Networks (CNNs) for spatial features, and Recurrent Neural Networks (RNNs) or 3D CNNs for temporal features) to capture meaningful representations of actions. Model Architecture: Implement a hybrid deep learning model that combines 3D CNN and LSTM layers, allowing the model to learn spatial and temporal dynamics in video sequences effectively. Transfer learning with pre-trained networks (e.g., ResNet or Inception) will also be explored to improve performance on specific datasets. Training and Fine-tuning: Train the model on individual datasets and fine-tune using cross-dataset training to ensure high accuracy ac...
I am seeking a professional with expertise in deep learning, specifically with Convolutional Neural Networks (CNN), to help improve the prediction accuracy of a specific process or system. Key Responsibilities: - Utilize CNNs to process and analyze numerical data - Develop and implement a deep learning model to enhance prediction accuracy Ideal Skills and Experience: - Proven experience with deep learning and CNNs - Strong understanding and experience with numerical data - Past projects demonstrating improved prediction accuracy Your primary goal will be to develop a model that significantly enhances our prediction capabilities using numerical data.
...project that involves detecting diseased areas on apple leaves using Yolo V9, marking them with bounding boxes, and subsequently feeding the output into a CNN algorithm for disease classification. Key Tasks: - Utilize provided high-resolution images to identify and mark diseased areas on apple leaves. - Implement a CNN algorithm to classify the marked diseased areas into 1-3 possible disease types. You will be provided with fully labeled datasets for both the YOLO and CNN algorithms, so there will be no need for additional data labeling. Ideal Skills and Experience: - Proficiency in using Yolo V9 for object detection - Experience with CNN algorithms for classification - Familiarity with image processing and analysis - Ability to work with high-resolution ...
I'm seeking a...exciting project. The task involves using the YOLO V9 model to identify and mark diseased areas on apple leaves in a series of JPEG images. The marked images will then be fed into a Convolutional Neural Network (CNN) for disease classification. Key responsibilities: - Employ YOLO V9 to detect and label diseased areas on apple leaves with bounding boxes. - Input the marked images into a CNN for disease classification. - Classify various types of apple leaf diseases. I have a fully-labeled dataset ready for this project. The ideal freelancer will have extensive experience with YOLO V9 and CNN, a strong background in computer vision, and a keen interest in agricultural technology. If you have prior experience in classifying plant diseases, that woul...
I need an expert in deep learning with a strong grasp on few-shot learning. The objective is to set up a few-shot learning system that can reconstruct high quality images from low light sources. This system will be implemented on a desktop application. Ideal Skills: - Deep Learning - Few-Shot Learning - Low Light and Resolution Enhancement -...learning system that can reconstruct high quality images from low light sources. This system will be implemented on a desktop application. Ideal Skills: - Deep Learning - Few-Shot Learning - Low Light and Resolution Enhancement - Desktop Application Development Experience: - Proven track record in image enhancement projects. - Familiarity with various deep learning frameworks (TensorFlow, PyTorch, Keras). Please implement the system usi...
I'm looking to enhance the efficiency of my CNN model through extensive hyperparameter tuning within specified constraints. The primary tasks would involve: - Testing different optimizers (e.g. SGD) and analyzing its impact on both training and testing performance. - Modifying the learning rate and seeing its effect, and also experimenting with a learning rate scheduler (e.g the Step LR scheduler) and assessing effects on the training process and test outcomes. - Adjusting the number of epochs and batch size, then evaluating their influence on both training and testing. - Applying one strategy of data augmentation and reporting their effects on model performance. The ideal candidate will be proficient in Pytorch with a strong understanding of CNNs and hyperparameter tuning. P...
It's a simple and small project. It should not take more than 1 hour for an expert. My budget is AUD $15. Please message me for more details.
...robust WordPress plugin or system that can handle live commenting events. - Capable of providing real-time updates on breaking news. - An efficient push notification system that can alert web browsers. — Integrated with normal wordpress posts, can be pushed enywhere in the site (with mention Live) Check exemple on , () or CNN () Ideal Skills: - Proficiency in WordPress development, particularly in creating or customizing plugins. - Experience with live streaming integration on WordPress. - Knowledge in developing push notification systems for web. Please note that the push notifications should solely support web browsers, not mobile apps
It's a simple and small project. It should not take more than 1 hour for an expert. My budget is AUD $15. Please message me for more details.
I have an example gif and need the same reproduced (background) but different character. I will give you my character in png and mp4. Movie character is preferred but if now still is fine. I will need it within a few hours. Will lead to more work.
...experience in AI development and natural language processing. - Proficiency in understanding and working with the Cairo dialect of Egyptian Arabic. - Experience in creating scalable systems. - Previous work in developing customer service AI systems is highly desirable. Languages and Frameworks: Python: Commonly used for AI and machine learning development, and has robust libraries (like TensorFlow, Keras, or PyTorch) for building AI models. Natural Language Processing (NLP): Specifically for building language models that understand and respond in Egyptian Arabic. Look for skills with frameworks like spaCy or Hugging Face Transformers. Dialogflow (Google), Microsoft Azure AI, or Amazon Lex: These platforms provide pre-built conversational AI frameworks that can handle voice intera...
I'm seeking a Python developer with expertise in machine learning, particularly with convolutional neural networks (CNN), to create a code that can compare two high-resolution images of car parts. Key Requirements: - Develop a Python code that can compare two uploaded images and determine if the car parts are identical, with an accuracy rate exceeding 90%. - Experience with CNNs is crucial. Please note, I have not yet provided pre-labeled datasets for training the model. The freelancer may need to assist with this task.
...Real-time Video Analytics: Experience in developing real-time detection systems and working with live video feeds from IP cameras or other sources. Strong Programming Skills: Proficient in Python or similar languages for developing machine learning models and integrating them with backend systems. Machine Learning Expertise: Solid understanding of CNNs, object detection algorithms (YOLO, Faster R-CNN), and model optimization techniques. Cloud & Edge Deployment: Familiarity with deploying AI models on cloud platforms (AWS, Azure) and edge devices. API Integration: Experience with APIs for integrating models with messaging or notification systems. Bonus Skills: Experience with video compression, low-latency processing, or streaming technologies. Knowledge of security an...
...experience in AI development and natural language processing. - Proficiency in understanding and working with the Cairo dialect of Egyptian Arabic. - Experience in creating scalable systems. - Previous work in developing customer service AI systems is highly desirable. Languages and Frameworks: Python: Commonly used for AI and machine learning development, and has robust libraries (like TensorFlow, Keras, or PyTorch) for building AI models. Natural Language Processing (NLP): Specifically for building language models that understand and respond in Egyptian Arabic. Look for skills with frameworks like spaCy or Hugging Face Transformers. Dialogflow (Google), Microsoft Azure AI, or Amazon Lex: These platforms provide pre-built conversational AI frameworks that can handle voice intera...
I'm looking for a professional with solid expertise in machine learning and deep learning, particularly with Convolutional Neural Networks (CNN), to help me write a 7-page (including references) research paper on Handwritten Sanskrit Word Recognition. The paper should be free from plagiarism and tailored for an audience of academic researchers. The focus of the paper will encompass: - Applications of Deep Learning - Techniques in Pattern Recognition - Utilization of Handwritten Sanskrit Word Datasets Ideal candidates for this project will have: - Extensive experience with pattern recognition and machine learning - Strong research and academic writing skills - (Preferred but not mandatory) Familiarity with Sanskrit The paper will need to effectively communicate complex concep...
I'm looking fo...The project should be structured with the entire setup in a single directory. This includes API routes and a chat example within the SvelteKit structure. - The function call flow should be as follows: 1. A user asks a question. 2. The API sends the request to OpenAI. 3. OpenAI invokes an internal function (e.g., get_data1 or get_data2). 4. The function runs and returns data to OpenAI, which continues its computation. 5. The final response is streamed back to the user. - The functions get_data1() and get_data2() should fetch static data. - The chat functionality should be able to handle basic text messages only. Tech Stack: - SvelteKit Deliverable: A working example of the above setup, clearly demonstrating the interaction and function calling...
I’m working on a small project focused more on the logic behind a CNN model rather than the final result. I have 3D medical images (TC and RM) of one patient, along with ground truth data for some visible parts of the small bowel. I’d like to use these images to create and train a CNN model, applying data augmentation techniques to enhance the dataset. I found an article that outlines the process of building it. MILESTONE: Augmentation: Apply 3D augmentation (rotation, flip, translation, zoom, intensity adjustments) to expand the dataset. 2.CNN Model: Build a 3D CNN for segmentation using convolutional, pooling, and dense layers. : Train the model with augmented data, using Dice Loss/Binary Crossentropy and the Adam optimizer. : Validate performance...
...while adhering to AP style guidelines - Publish the article on at least 10 reputable English and 10 Arabic news platforms within 24 hours - Focus on well-known newsletters in the following categories: Tech and Startups, Entrepreneurship & Innovation, Healthcare, and Humanitarian and Sustainability Targeted Newsletters Include: - English: AlJazeera English, Reuters, Bloomberg, AP, Skynews Arabia, CNN, Yahoo, HRB Business Review - Arabic: Aljazeera, Almonitor, Skynews Arabia, The National, Argaam Tech, MIT Technology Review Arabia Ideal Skills & Experience: - Proven experience in news editing and article publication - Strong understanding and focus on humanitarian aspects - Familiarity with AP style guidelines - Ability to meet tight deadlines Please provide examples of ...
Similar like this url: you need to be able to configure shin guards for football players - pick a background - add a picture - change the colors of the background It's for shin guards for football players also able to make payment main site will be shopify, not sure if this need to be linked or if this could also work seperately please show me similar work in order for me to have a configuration with you to see if you're qualified
