Keras jobs

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 ...

...Report: A detailed report including: Problem definition and project scope. Dataset description and preprocessing steps. Model architecture and training methodology. Results and evaluation metrics. Challenges faced and solutions implemented. Requirements: Strong experience in machine learning and deep learning, specifically in CNNs. Proficiency in Python and relevant libraries (e.g., TensorFlow, Keras, OpenCV). Knowledge of real-time inference techniques. Experience in working with gesture recognition or sign language projects is a plus. Additional Information: The project should be completed with clean and modular code. Detailed comments and documentation within the code are essential. The freelancer should be available for discussions and feedback sessions....

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 ...

...Report: A detailed report including: Problem definition and project scope. Dataset description and preprocessing steps. Model architecture and training methodology. Results and evaluation metrics. Challenges faced and solutions implemented. Requirements: Strong experience in machine learning and deep learning, specifically in CNNs. Proficiency in Python and relevant libraries (e.g., TensorFlow, Keras, OpenCV). Knowledge of real-time inference techniques. Experience in working with gesture recognition or sign language projects is a plus. Additional Information: The project should be completed with clean and modular code. Detailed comments and documentation within the code are essential. The freelancer should be available for discussions and feedback sessions....

...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...

...·        CNN Models (Convolution Neural Network) ·        Face Detection / Recognition ·        OpenCV Trackers ·        Faster RCNN ·        API Designing ·        Model Deployment   Tools/Platforms to be used:   ·        Python Language ·        Google Colab ·        Anaconda ·        Juyter Notebook · ...

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....

...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'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 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 ...

...essential: 1. Pytesseract - A wrapper for Google's Tesseract-OCR Engine, used for text extraction from images. 2. OpenCV - A library for image processing that will assist in preparing images for OCR, including resizing, filtering, and enhancing image quality. 3. EasyOCR - An alternative OCR library that utilizes deep learning models for high accuracy in text recognition. 4. Keras-OCR - A library built on Keras that provides pre-trained models for OCR tasks, especially useful for complex layouts or handwritten text. 5. Pandas - A powerful data manipulation library that will be used to create and manage the CSV output files. 6. XML Libraries (e.g., lxml or ) - Libraries for generating XML files from extracted data. 7. PDF2Image - A library to conver...

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...

...handle large-scale data efficiently. Required Technical Qualifications: 1. Experience: Minimum of 2 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 rei...

...handle large-scale data efficiently. Required Technical Qualifications: 1. Experience: Minimum of 2 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 rei...

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...

...essential: 1. Pytesseract - A wrapper for Google's Tesseract-OCR Engine, used for text extraction from images. 2. OpenCV - A library for image processing that will assist in preparing images for OCR, including resizing, filtering, and enhancing image quality. 3. EasyOCR - An alternative OCR library that utilizes deep learning models for high accuracy in text recognition. 4. Keras-OCR - A library built on Keras that provides pre-trained models for OCR tasks, especially useful for complex layouts or handwritten text. 5. Pandas - A powerful data manipulation library that will be used to create and manage the CSV output files. 6. XML Libraries (e.g., lxml or ) - Libraries for generating XML files from extracted data. 7. PDF2Image - A library to conver...

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 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 ...

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. • Excelle...

...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.

...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 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...

...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...

...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 an expert in time series predictions using LSTM (Long Short-Term Memory) to forecast future values based on multivariate data...level, precipitation datasets. I will provide all data. The data has also gaps within. This project primarily focuses on predicting future subsidence trends using historical data. Key aspects of the project: - Utilize LSTM for forecasting future values from the subsidence data - Experience with multivariate datasets is a must - matlab or Proficiency in Python and relevant libraries (TensorFlow, Keras, etc.) is crucial - Prior experience with time series predictions using LSTM will be highly regarded - Ability to interpret and visualize data insights Please include examples of previous relevant projects in your proposal. Looking forwar...

I am looking for an expert in deep learning to create a custom AI model for my needs. The specific goals of the model, the dataset for training, and the preferred deep learning framework are all open to discussion and will be determined collaboratively. Ideal Skills And Experience: - Proficiency in deep learning - Experience with AI model development - Familiari...deep learning to create a custom AI model for my needs. The specific goals of the model, the dataset for training, and the preferred deep learning framework are all open to discussion and will be determined collaboratively. Ideal Skills And Experience: - Proficiency in deep learning - Experience with AI model development - Familiarity with various datasets - Expertise in TensorFlow, PyTorch, and Keras - Strong collaborat...

I'm seeking an expert in object detection and machine learning to enhance an optimized YOLO (...optimized YOLO (You Only Look Once) model. The purpose of this project is to detect small objects, specifically, diseases on fruit trees via camera observations. Ideal candidates should have: - Deep understanding and experience with YOLO and other object detection models. - Experience in agricultural technology or plant disease detection. - Proficiency in Python and related ML libraries (TensorFlow, Keras, etc.) - Capability to optimize models for specific detection tasks. Please note, the specific types of diseases we will be focusing on have not been determined yet, therefore the model should be flexible and adaptable to detect a range of possible 'small objects' that...

I'm looking for an expert in AI & Software Development with a strong background in Deep Learning, specifically in image recognition, to help develop a system that can recognize faces and facial features. Key Responsibilities: - Design and impl...Learning, specifically in image recognition, to help develop a system that can recognize faces and facial features. Key Responsibilities: - Design and implement a deep learning model for facial recognition - Optimize the model for accuracy and efficiency - Collaborate with me to understand project needs and updates Ideal Skills: - Proficiency in Python and deep learning libraries (TensorFlow, Keras, PyTorch) - Experience in image recognition projects, specifically facial recognition - Strong problem-solving skills - Excellent c...

Hi - I am need of someone who knows how to import whole slide images of cancer tumor biopsies into a CNN (convolutional neural network), then to do some image analyses of cluster/hot spots, also train/test, and provide tutorials Skills: Medical, python, pytorch, keras to do: Prep data, design model (using CNN), train model, eval the model, fine tune model

I'm seeking a proficient data scientist with deep learning expertise to develop a trading algorithm f...expertise to develop a trading algorithm for day trading in the stock market. I have an indicator in pine script that i would like to implement for the strategy Key Requirements: - Design a deep learning-based day trading algorithm - Incorporate a price prediction component - Focus primarily on maximizing profits Key Skills: - Proficiency in Python and deep learning libraries (e.g., TensorFlow, Keras) - Experience in algorithmic trading - Strong background in data analysis and financial markets Please note, the primary goal of the algorithm is profit maximization, but risk management will also be a vital aspect of the design process. this will need to be back tested befo...

... Innovation: Contribute innovative ideas and solutions to improve the platform and keep it at the forefront of technology. Required Skills & Qualifications: Proven Experience: 5+ years of experience in AI/ML development and full-stack engineering. Technical Expertise: Proficiency in Python, Django, and React, with a strong understanding of AI frameworks such as TensorFlow, PyTorch, and Keras. AR/VR and CAD Experience: Hands-on experience with augmented reality development and CAD tools for creating interactive user experiences. Database Management: Experience with relational and NoSQL databases like PostgreSQL and MongoDB. API Development: Strong skills in developing and integrating RESTful APIs. Problem-Solving: Excellent analytical skills and the ability t...

... Objective: Implement one of the papers chosen in Part A using Python TensorFlow Keras or Pytorch Libraries. Instructions: Implement the Paper: Utilize the methodologies or algorithms detailed in your chosen paper. Ensure that the URL for the dataset (public dataset) is mentioned clearly. Code Submission: Upload the Python .ipynb file. Download the .ipynb file as a PDF, ensuring all outputs are clearly displayed. ZIP files are not accepted. Assignment Template: Use the provided file or Google Colab for your work. File Naming Convention: DNN_assignment_2a_group##. Libraries: Use TensorFlow/Keras/Pytorch Plagiarism & Late Submissions: Any plagiarism will result in zero marks. Late

I'm in need of a deep learning expert with a strong proficiency in Keras. The project is small and will primarily involve working with Keras to implement deep learning algorithms. Ideal Skills: - Extensive experience with Keras - Proficient in deep learning methodologies - Problem-solving skills for algorithm implementation Please note that the specifics of the task and the type of data involved will be discussed further. Your expertise and flexibility will be key in successfully completing this project. i need to done this project ASAP. Note type "DEEP" in the start of your proposal . low budget will be preferred.

I am seeking a seasoned deep learning professional with a particular focus on predictive analytics. Your primary task will be working with structured data, particularly databases, to develop a classification-based predictive model. Ideal Skills and Experience: - Proven expertise in deep learning, specifically in predictive analytics -...Your primary task will be working with structured data, particularly databases, to develop a classification-based predictive model. Ideal Skills and Experience: - Proven expertise in deep learning, specifically in predictive analytics - Strong background in working with structured data - Proficient in developing classification-based models - Experience with deep learning frameworks (TensorFlow, Keras, etc.) - Excellent data analysis and interpretat...

...them for large-scale data handling and GPU acceleration. Required Technical Qualifications: Experience: Minimum of 2 years of professional experience in computer vision with a proven track record of delivering complex image processing and machine learning projects. Programming Skills: Proficient in Python, and MATLAB. Hands-on experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. Algorithm Expertise: Strong understanding of computer vision algorithms, including CNNs, object detection (e.g., YOLO, Faster R-CNN), image segmentation (e.g., U-Net), and feature extraction. AI/ML Knowledge: Comprehensive understanding of machine learning principles, including experience with supervised, unsupervised, and reinforcement learning. Data Handling: Experience working...

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I need a project focusing on Natural Language Processing (NLP) and Deep Learning (DL) for next word prediction. The project should be implemented in Python, without using Keras, and built from scratch. Key Requirements: - Focus on next word prediction using a large dataset (millions of sentences). - Use of Python for implementation. - No use of Keras or other high-level libraries, everything built from scratch. - Deep understanding of both NLP and DL. Ideal Skills: - Proficiency in Python. - Extensive experience with NLP and DL. - Ability to build complex models from scratch. - Experience working with large datasets.

...handle large-scale data efficiently. Required Technical Qualifications: 1. Experience: Minimum of 2 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 rei...

I need an expert to perform transfer learning on the VGG16 network for classifying plants. The VGG16 network was originally trained on 1000 categories of ImageNet, and we want to repurpose it for a plant classification task. The dataset will be provided(in Kaggle). The ideal freelancer for this project should: - Have an experienc...originally trained on 1000 categories of ImageNet, and we want to repurpose it for a plant classification task. The dataset will be provided(in Kaggle). The ideal freelancer for this project should: - Have an experience with transfer learning and CNNs, specifically the VGG16 network. - Be proficient in Python and have a strong understanding of machine learning libraries like TensorFlow, PyTorch, and Keras. - Be able to fine-tune the model for optimal pe...

I'm looking for a skilled professional who can help me understand how to use Grad-Cam with a Keras vision transformer for feature visualization in image classification tasks. Ideal Skills: - Proficient in Keras and its vision transformer - Experienced with Grad-Cam - Familiar with image classification tasks I need someone who can guide me through this process, explaining each step clearly. Your expertise will help me visualize features and improve my understanding of the model's behavior.

... We are seeking an experienced AI developer to create a sophisticated application capable of analyzing product images with the following functionalities:Required Skills: Computer Vision Experience with OpenCV for image and video processing. Familiarity with object detection models like YOLO, SSD, or Faster R-CNN. Machine Learning and AI Proficiency in frameworks like TensorFlow, PyTorch, or Keras. Experience in training and validating models for detecting specific behaviors. Software Development Strong programming skills in Python. Knowledge of algorithms and data structures. Hardware Integration Experience with camera APIs to connect and capture video feeds. Ability to work with real-time video streams. Web and User Interfaces Experience with web frameworks like Flask or D...

Programming languages: Python, C++, Mojo (If he has experience) Python Libraries: PyTorch, Tensor Flow, Keras, JAX Machine Learning: Machine learning techniques, algorithms and deep learning, supervised, unsupervised and semi-supervised learning approach, reinforcement learning from human feedback, MLOps, Apache Spark Mathematics and Statistics ( Calculus, Linear algebra etc ) Has taken part in competitive programming contests Masters in Machine Learning and Data Science Can think critically and logically. You will be improving an algorithm to process and design a map in less than 1 second, currently it takes 30mins

...Implement the models into Azure as stand-alone applications Experience: - Expertise in cleaning, preprocessing, and transforming tabular data. - Experience in feature engineering to extract meaningful features from raw data. - Knowledge of model evaluation metrics and techniques (e.g., cross-validation, ROC-AUC, precision-recall). - Experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch. We will start with three small (paid) projects that will serve as milestones to test our compatibility and working relationship for the long term....

I'm currently working on a specialized project that requires a custom activation function in a Keras neural network. The primary data I'll be using for training is numerical. Key Requirements: - Custom Activation Function: Implementing a ReLU (Rectified Linear Unit) activation function in Keras. - Specialized Project: The neural network will be tailored to solve a specific problem. - Data Type: The primary type of data for training the network is numerical. Ideal Freelancer: - Proficient in Keras: Experienced in working with the Keras library. - Custom Activation Functions: Skilled in implementing custom activation functions, particularly ReLU. - Specialized Neural Networks: Previous experience in creating specialized neural networks for unique tasks...

...on cloud platforms like Google Cloud Platform. User Interface: - Collaborate on the development of a user-friendly interface for uploading receipts and reviewing extracted data. - Implement functionalities for manual review and correction of the extracted data. Desired Skills: Strong background in Computer Vision and Image Processing. Proficiency in Python and relevant libraries (TensorFlow, Keras, PyTorch, OpenCV). Experience with Node.js and frontend frameworks (React, Vue, ). Knowledge of API development and integration. Familiarity with cloud services (Google Cloud Platform) and data protection best practices. Deliverables: Fully functional receipt recognition and data extraction algorithm in Python. Comprehensive documentation for the algorithm and its integration with oth...