Convolutional lstm keras jobs

I am looking for an expert in AI, specifically with fine-tuning experience in Convolutional Neural Networks (CNN). My primary focus is on improving the accuracy of specific tasks in the field of Natural Language Processing (NLP). Key tasks for this project include: - Evaluate the current performance of the CNN on specific tasks - Implement fine-tuning protocols to enhance accuracy - Validate and optimize the model for our specific dataset Ideal freelancer must have: - Extensive knowledge and experience in Artificial Intelligence - Proficient with Convolutional Neural Networks - A strong understanding of Natural Language Processing - Proven track record with AI fine-tuning. Your core responsibility will be to adapt our current AI model to enhance its task accuracy in an N...

I'm in search of a professional in deep learning, preferably a PhD, who can serve as a mentor for various aspects of neural network design, such as: - Designing neural networks - Explaining and ensuring a deep understanding of deep learning concepts - Training and fine-tuning of models for optimal pe...possess: - A PhD in the field of deep learning - Previous experience in designing neural networks - Strong communication skills to effectively explain complex concepts in a clear manner You would be expected to help me navigate the intricacies of neural network design, understand the nuances of deep learning concepts, and assist in optimizing models for best performance. Your expertise in Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) would be particula...

In this project, I am looking for a skilled data scientist to assist me with implementing supervised learning to detect human actions. Tasks: • Develop a supervised learning model using Yolov8 and LSTM Objective: • The primary purpose of this project is human action detection Skills & Experience: • Proficiency with supervised learning • Thorough familiarity with Yolov8 and LSTM • Previous experience in a similar role is advantageous • Background in object detection projects • Ability to communicate clearly in English for understanding requirements and presenting results.

I have collected the dataset in CSV format and now require an expert to develop a multi-class logistic regression model for me. Key requirements: - The dataset is ready and available in CSV format which can be use...Key requirements: - The dataset is ready and available in CSV format which can be used for the model. - You should have expertise in developing logistic regression models for multi-class classification. - Proficiency with Python is a must as I prefer the model to be developed using this language. Technical Requirements: Proficiency in Python and familiarity with libraries such as NumPy, Pandas, Keras, and TensorFlow. Knowledge of statistical learning, logistic regression, and gradient ascent optimization. Ability to write clear and concise documentation and well-comme...

I'm in search of a professional in deep learning, preferably a PhD, who can serve as a mentor for various aspects of neural network design, such as: - Designing neural networks - Explaining and ensuring a deep understanding of deep learning concepts - Training and fine-tuning of models for optimal pe...possess: - A PhD in the field of deep learning - Previous experience in designing neural networks - Strong communication skills to effectively explain complex concepts in a clear manner You would be expected to help me navigate the intricacies of neural network design, understand the nuances of deep learning concepts, and assist in optimizing models for best performance. Your expertise in Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) would be particula...

I am seeking a freelancer to contribute to a project I am designing for medical image classification, leveraging a Convolutional Neural Network (CNN) for optimum results. Key responsibilities will include: - Developing and implementing CNN architecture - Deploying deep learning models for image classification tasks - Ensuring robust medical image classification with accurate results As this project requires specialized skills, the ideal freelancer will have the following experience: - Proficient knowledge in leading AI and machine learning programming languages, especially Python - Experience with CNNs and a solid understanding of deep learning methodologies - Demonstrable expertise in the classification of medical images If you have extensive experience in these areas and a p...

...various types of images, including scanned documents, natural images, and synthetic images. Key Requirements: - I'm looking for a 'moderate' level of accuracy in the table detection (80% - 95%) across various image types. - Please incorporate Convolutional Neural Networks (CNN), along with Support Vector Machines (SVM) and Random Forests in the model. Ideal Skills and Experience: - Proven experience in developing and implementing machine learning models, particularly in image processing and object detection. - Proficiency in working with Convolutional Neural Networks (CNN), Support Vector Machines (SVM) and Random Forests. - Strong ability to tune accuracy in the 80% - 95% range. - Familiarity with working on diverse image types, including scanned documen...

I'm working on a Python project that involves ML and NLP. The code currently has a number of errors that need to be rectified. Key Points: - The errors are a mix of synta...errors that need to be rectified. Key Points: - The errors are a mix of syntax, runtime, and logic errors. This will require a comprehensive understanding of Python and how it works within the context of ML and NLP. - The code utilises TensorFlow and Keras for the ML components. Experience with these libraries are essential to identify and fix errors. - The input format for the code is text data, so experience in handling and processing this kind of data is necessary. If you're a Python expert with experience in ML, NLP, TensorFlow and Keras, and you're confident in your debugging abili...

...fuse information from text, images, and audio sources to capture the holistic context of emotional expression. 2. Text Analysis: Implement state-of-the-art NLP techniques to extract sentiment and emotion from textual data. This involves sentiment polarity detection, emotion classification, and fine-grained sentiment analysis. 3. Image Analysis: Utilize deep learning architectures such as convolutional neural networks (CNNs) to extract features from images and recognize emotional cues, facial expressions, and body language. 4. Audio Analysis: Employ signal processing and machine learning techniques to analyze audio signals and identify emotional content, including speech sentiment and intonation patterns. 5. Multi-Modal Fusion: Develop innovative fusion strategies to combine i...

I'm seeking a Junior AI Oracle Developer to assist with market trend analysis in the cryptocurrency space. The primary focus for this project is Python. Key Responsibilities: - Utili...for market trend analysis in the cryptocurrency sector. - Conduct in-depth research and data analysis to inform these models. - Regularly report on market trends based on AI insights. Ideal Candidate: - 1-2 years of experience in AI and Python. - Strong understanding of market analysis and trends, particularly within the cryptocurrency sector. - Prior work with Solidity, TensorFlow, PyTorch, or Keras would be beneficial but not essential. - Ability to adapt and learn quickly in a fast-paced environment. Please be prepared to share examples of your work or portfolios that showcase your skills ...

I'm in search of a skilled machine learning developer with expertise in GPT (Generative Pre-trained Transformer). My goal is to have an AI model that can both ...My goal is to have an AI model that can both correct and standardize postal addresses. The addresses will be provided in CSV files and the output of the model should be accessible via an API for integration into our system. Key requirements: - Proficiency in machine learning with a focus on GPT - Experience in addressing data correction and standardization - Transformers - Pytorch, TensorFlow, Keras, Pandas, Numpy, seaborn, Matplotlib The ideal candidate will have a proven track record of developing AI models, particularly in the realm of addressing data, and be able to provide a detailed timeline for the completion ...

It is python coding to finish MM model and LSTM model.

I'm in need of a professional who can create a 3D Convolutional Neural Network (CNN) model diagram for a brain tumor classification project. I will share file. This will be based on my approach using 3D CNN and Transfer Learning for Brain Tumor Classification.

Create LSTM model in python to predict price for six month in the future.

...and testing a Convolutional Neural Network (CNN). Specific context about the desired classification problem and the type of images for training/testing are yet to be determined and will be shared as the project goes on. The deliverable of your task will be a working Python code able to solve a given image classification problem, producing corresponding output, which will be discussed further after kickoff. For this task, proficiency in Python and familiarity with machine learning and deep learning frameworks are critical, specifically in areas related to: - Python, with emphasis on libraries for data analysis and manipulation (such as Pandas, Numpy), data visualization (like Matplotlib, Seaborn), and machine learning (including Scikit-Learn, TensorFlow, Keras). - Con...

...machine learning and signal processing to build a cryptocurrency trading signal application. The core of this project will be to implement an LSTM (Long Short-Term Memory) neural network that utilizes techniques like Fourier transform among other signal processing methods to generate buy and sell signals based on historical cryptocurrency data. Key Project Requirements: - Data Handling: The application should be able to import and use cryptocurrency data from this Kaggle dataset: Binance Full History. - Signal Processing: Integrate Fourier transform and other signal processing techniques to analyze the data. - Model Implementation: Develop and train the LSTM neural network model to predict potential buy and sell points. - User Interface: Design a user-friendly GUI that d...

I'm in dire need of a professional with deep understanding of Graph Convolutional Networks (GCN), machine learning and data science to assist in building an anomaly prediction model. Since the specific anomalies to be predicted and the data to be used are not yet defined, your flexibility and adaptability are vital. Accuracy requirements are also to be specified later; hence, your ability to quickly alter the model's complexity is coveted.

I'm in dire need of a professional with deep understanding of Graph Convolutional Networks (GCN), machine learning and data science to assist in building an anomaly prediction model. Since the specific anomalies to be predicted and the data to be used are not yet defined, your flexibility and adaptability are vital. Accuracy requirements are also to be specified later; hence, your ability to quickly alter the model's complexity is coveted.

I'm in dire need of a professional with deep understanding of Graph Convolutional Networks (GCN), machine learning and data science to assist in building an anomaly prediction model. Since the specific anomalies to be predicted and the data to be used are not yet defined, your flexibility and adaptability are vital. Accuracy requirements are also to be specified later; hence, your ability to quickly alter the model's complexity is coveted.

I'm in dire need of a professional with deep understanding of Graph Convolutional Networks (GCN), machine learning and data science to assist in building an anomaly prediction model. Since the specific anomalies to be predicted and the data to be used are not yet defined, your flexibility and adaptability are vital. Accuracy requirements are also to be specified later; hence, your ability to quickly alter the model's complexity is coveted.

I'm seeking...project. More specifically, I'm currently using PyCharm and a variety of ML frameworks or libraries to test a range of custom signals. The ideal candidate for this project should possess the following skills and experience: - Proficiency in PyCharm IDE for Python - Familiarity with various machine learning frameworks or libraries, including but not limited to TensorFlow, PyTorch, Scikit-learn, Keras, MXNet, and Caffe - Experience in integrating different ML stacks The top priority is to have this project completed as soon as possible. Be prepared to share your approach and timeline for project completion during our discussions. Your adaptability and ability to handle tight deadlines will be highly valued in this project. Let's test the boundaries of ...

We're seeking Python developers t...edit the generated LaTeX code if modifications are needed. They can then download the result as a docx, doc, or LaTeX file. Additionally, there should be a copy-to-clipboard icon for easy use. - An easy-to-understand UI will be appreciated. Key Skills: - Proficiency in Python programming language. - Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Keras. - Strong understanding of computer vision techniques and OCR algorithms. - Web development skills using frameworks like Flask or Django or Streamlit. - Familiarity with image processing libraries such as OpenCV. - Excellent problem-solving and communication skills. If you have already worked on similar task. please attach work samples in your ...

I have a back end code for a project of phishing website detection…it is a CNN vs LSTM comparative study …but I want a person who can develop a UI for that project as well as who can explain that code to us

I require a deep learning professional to write a well-researched paper on traffic prediction in seaports. The specific domains need not be confined; I am open to any, including CNN-LSTM, GRU, and RNN, with perhaps an emphasis on utilization to improve efficiency. The final paper should be suitable for publication in a SCOPUS or ABDC journal. I need this task completed within a month. Ideal Skills & Experience: • Expertise in various Deep Learning domains • Proven record in research paper writing • Experience with traffic management or port logistics would be a bonus • Ability to deliver the project within a strict timeframe • Knowledge of SCOPUS and ABDC journal requirements for research articles

I'm seeking an experienced Python - TensorFlow/PyTorch developer to build a Deep Learning model for brain tumor classification. You should be adept with the following tools and libraries: The primary objective of this project is to create a reliable classification system that can accurately differentiate between brain tumors (types). The project will involve the development of a 3D convolutional neural network (CNN) along with transfer learning that can process the provided MRI images effectively. Key requirements for this project include: - Extensive experience in machine learning, particularly with CNNs - Proficiency with medical image analysis, particularly with MRI images - Previous experience with brain tumor classification is highly desirable - Strong understanding of t...

I am looking for a proficient Python developer extensively experienced in Deep Learning, particularly CNN (Convolutional Neural Network), for a critical cyber security project. Your task will be to develop a system capable of efficiently identifying network intrusions. Specifically: - The system will focus on the detection of anomalies within the realm of cyber security. - User behavior data will serve as the primary source of analysis in the effort to pinpoint these intrusions. - The detection algorithm must be highly accurate, maintaining an efficiency level above 95%. Ideal candidates must have: - Proven experience with Python and CNN Deep Learning algorithms. - Previous work on cyber security systems or similar projects is a major plus. - Firm understanding of user behavio...

I'm in need of an expert in Machine Learning with a strong proficiency in Python. The successful candidate will be assisting me with various stages of my project. Key Tasks: - Data Preprocessing: You will be tasked with cleaning, transforming, and preparing the raw data for analysis. - Mo... - Prior experience with data preprocessing, model development, and model evaluation. - Excellent problem-solving and analytical skills. - Strong communication skills to effectively communicate complex concepts. - The ability to understand business objectives and translate them into technical requirements for ML models. - Familiarity with libraries and frameworks like TensorFlow, scikit-learn, Keras, etc. Please provide examples of previous work in the field of Machine Learning and Python...

I need an expert to further optimize my existing CNN model that currently has an accuracy rate of over 80%. Despite the high performance, I believe there's room for improvement. Required Skills & Experience: * Extensive experience with Convolutional Neural Networks (CNNs) * Proficiency with text data processing * Track record of improving the accuracy of machine learning models Job Scope: * Review the current model and identify potential areas for improvement * Implement strategies to increase training speed and minimize overfitting * Improve the model's overall accuracy * Maintain detailed documentation on the steps taken and their impacts Despite the model's high initial accuracy, I'm ambitious about reaching even higher stats. If you're a guru a...

I'm currently looking for an expert in hybrid machine learning models, specifically for the ARIMA, GCN, and LSTM components. Key improvements needed: - ARIMA: - Improved accuracy of predictions - Reduced computation time - Better handling of seasonality - GCN: - More effective integration of graph structure - Enhanced extraction of features Skills and Experience Required: - Extensive knowledge in ARIMA, GCN, and LSTM - Proven experience in improving hybrid machine learning models - Proficiency in handling seasonality in data - Ability to work efficiently and reduce computation time. - Skilled in incorporating graph structure and improving feature extraction.

I'm looking for a specialist capable of conducting image classification for facial detection using the YOLOv9 model on Colab. The primary g...images. The key tasks include: - Implementing YOLOv9 model on Colab for image classification - Prioritizing faces as the main class for identification and categorization - Enhancing the model to increase its detection degrees of accuracy - Ensuring the solution is scalable and effective The ideal candidate should have robust skills in: - Python programming - Deep Learning (specifically convolutional neural networks) - Proficiency in Google Colab - Prior hands-on experience with YOLOv9 or similar models. Please note that the work does not require detection and classification of specific facial features. It's all about pre...

...developer who is keen on completing and elevating an existing project to new levels of efficiency and user engagement. Your expertise will help us deliver a top-tier product to our clients! SKILLSET 1. **Advanced Programming Skills**: Proficiency in programming languages commonly used in AI development, such as Python, Java, or C++. Knowledge of frameworks and libraries like TensorFlow, PyTorch, or Keras can also be crucial for AI and machine learning implementations. 2. **Experience with Natural Language Processing (NLP)**: Since the application involves analyzing and processing resumes and cover letters, expertise in NLP is essential. This includes familiarity with text classification, sentiment analysis, and machine learning models that handle language data. 3. **Software...

I am currently looking for an expert who can implement an LSTM (Long Short Term Memory) model, using TorchSharp.Net. I need the ability to create a model with 5 features (float), a step window of 10, and 50 hidden neurons. I need the ability to load the model, pass it data and get a predicted value. The final deliverable should be a C# .Net Console application with solution file that includes a file. The data can be random or static arrays. Key Requirements: - Strong knowledge of C# .NET - Proficient in using TorchSharp If you have these skills and are confident in developing deep learning implementations, I would be pleased to discuss the project further with you.

I'm looking for a programmer who can help me create a time series forecasting model using Python. The main aim is to predict the future default rates on lending loans based on past data. Key Requirements: - Past data includes monthly default ra...Use all data of all customers to predict the future default rates based on the given data. Moreover, if a new customer takes loan what would have been the default rates of that customer if the customer had joined some time back in the past. Ideal Skills and Experience: - Proficiency in Python and relevant data science libraries (e.g., Pandas, NumPy) - Strong understanding of ML Model especially LSTM will be preferrable. Your deliverables will include the forecasting code, any preprocessing steps needed, and documentation on how to...

This project centers on devising a precise LSTM model that can predict the State of Charge (SOC) in electric vehicles (EVs). Key responsibilities: - Develop an LSTM model for SOC prediction - Data collection for the task. As there's no particular data available, you might have to source appropriate data for the project. Battery voltage readings, vehicle usage statistics, and weather conditions are potential data sources. - Ensure high accuracy levels of model predictions -Need the work to be done quickly Ideal candidate: - Strong background in LSTM models - Experience in energy consumption modeling or related field - Proven record in handling similar projects, especially in electric-vehicle related domain. - Resourceful in data sourcing and processing. Pl...

I need an experienced professional who can use Convolutional Neural Networks (CNN) to classify a dataset consisting of user-generated videos. Since this project involves working with user-generated content, the ideal candidate should have prior experience or familiarity with similar work. Key Responsibilities: - Improve search accuracy by effectively classifying the video dataset - Enhance recommendation systems - Analyze user behavior based on classification results Applicants should pay special attention to: - Providing proof of experience in using CNN for video classification tasks - Describing previous successes in improving search accuracy and enhancing recommendation systems, especially with user-generated content. With your expertise, we can properly structure our data...

I have an existing Convolutional Neural Network (CNN) model built in Python that processes audio data preprocessed using Mel-frequency cepstral coefficients (MFCCs). The model currently delivers high accuracy results, but there's an issue - It consistently provides the same answer when applied to different inputs. I need an expert to investigate and resolve this issue, ensuring that the model provides accurate and varied predictions for different audio inputs. Key Requirements: - Review and diagnose the current CNN model. - Identify why the model outputs the same result for different inputs. - Implement necessary modifications to rectify the issue. - Ensure the model maintains its high accuracy while providing diverse predictions for different audio inputs. Ideal Skills and E...

I'm looking for a skilled machine learning engineer with a background in medical image analysis to help me develop a system capable of identifying different types of brain tumors from MRI images. The primary objective of this project is to create a reliable classification system that can accurately differentiate between brain tumors (types). The project will involve the development of a 3D convolutional neural network (CNN) along with transfer learning that can process the provided MRI images effectively. Key requirements for this project include: - Extensive experience in machine learning, particularly with CNNs - Proficiency with medical image analysis, particularly with MRI images - Previous experience with brain tumor classification is highly desirable - Strong understan...

...detector. • Test on the test split of the dataset and report the results. • Show image examples of the detection performance. • Note, all platforms, i.e., mxnet, pytorch, tensorflow (and keras), have pre-trained models. You can use them, but you'll need to fine-tune and show your edits to obtain your own results. TASK 2 • Machine translation and seq2seq modeling • Build a seq2seq model for machine translation (English to French) • Using the example in , build your own model. • The notebook shows how to load the dataset. • Check the for more info. • Use LSTM or GRU, With more than 2 layers and more than 128 hidden units. • Report the loss after the training. • Use the model to predict multiple sentences. &bull...

...developer who has expertise in deep learning, particularly Convolutional Neural Networks (CNN), and experience with popular frameworks like Tensorflow and Keras. The project will revolve around object detection using images as the primary data source. Key Requirements: - Object Detection: The primary goal of this project is to accurately detect objects in images. It is important that the model is able to identify objects of a specific size, so having experience in this area will be crucial. - Deep Learning Expertise: You should be well-versed in deep learning concepts, particularly CNNs. This will be essential in developing an effective object detection model. - Framework Proficiency: Experience working with frameworks like Tensorflow and Keras is a must. You sho...

I'm working on a project that involves evaluating image quality using machine learning on an FPGA. Key Requirements: - The primary goal of this project is to achieve highly accurate results in image quality. - The images I'll be evaluating are mostly photographs. - I'm looking to implement a Convolutional Neural Network (CNN) model for this project. Key Skills/Experience needed: - Proficiency with FPGA development, particularly with VIVADO. - Strong background in image processing and machine learning. - Previous experience with implementing CNN models on FPGA for image quality evaluations would be a great plus. If you're confident in your FPGA skills, have a background in image processing and ML, and have worked with CNN models, I'm eager to hear from yo...

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I'm in need of an expert in FPGA and machine learning with a focus on Convolutional Neural Network (CNN) and YOLO algorithms. The primary goal of this project is to evaluate image quality with the maximum possible accuracy. Some key details: - FPGA: Experience with VIVADO is highly preferred. - Machine Learning: A strong background in implementing CNN and YOLO algorithms is essential. - Image Size: The desired input image size is 416x416. The project aims to achieve high accuracy in image quality evaluation through these machine learning algorithms on the FPGA. The freelancer is expected to work closely with me to ensure the project meets the desired outcomes.

Identification of small water bodies, as well as their identification when it is covered by vegetation. Techniques to be used, either with QGIS, Arcgis, or Arcgis it is not possible, then convolutional neural networks (CNNs), recurrent neural networks (RNNs), and fully convolutional networks (FCN).

I am looking for an specialist in convolutional neural networks (CNN) to create a three experiments: First experiment Create CNN models that recognize specific objects in bachelor thesis: - Headings – first level heading, subheading and third level heading - Headings text font - Headings text size - Line spacing before and after heading - Other elements in two groups: -- Other elements; -- Footnote references; - Number in front of the heading Each object will be recognised by separated CNN model. Each CNN model will have one class – it will be able to recognise only one object. Second experiment There will be only one CNN model with class for each object from first experiment. Third experiment Create CNN model that can recognize formatting errors in headings. Expe...

I'm looking for a programmer who can help me create a time series forecasting model using Python. The main aim is to predict the future default rates on lending loans based on past data. Key Requirements: - Past data includes monthly default ra...Use all data of all customers to predict the future default rates based on the given data. Moreover, if a new customer takes loan what would have been the default rates of that customer if the customer had joined some time back in the past. Ideal Skills and Experience: - Proficiency in Python and relevant data science libraries (e.g., Pandas, NumPy) - Strong understanding of ML Model especially LSTM will be preferrable. Your deliverables will include the forecasting code, any preprocessing steps needed, and documentation on how to...

I own a YOLOv8 model formatted in keras-cv and need a skilled professional to convert it into the latest version of TensorFlow Lite. The crucial function of my model is its real-time object detection capabilities. The objective is to utilize this model for object detection on a Raspberry Pi, and this functionality must be maintained post-conversion. Ideal Skills and Experience: - Proficiency in TensorFlow Lite - Experience in YOLOv8 model - Familiarity with keras-cv format - Experience working with Raspberry Pi - Proven track record in object detection models conversion.

I own a YOLOv8 model formatted in keras-cv and need a skilled professional to convert it into the latest version of TensorFlow Lite. The crucial function of my model is its real-time object detection capabilities. The objective is to utilize this model for object detection on a Raspberry Pi, and this functionality must be maintained post-conversion. Ideal Skills and Experience: - Proficiency in TensorFlow Lite - Experience in YOLOv8 model - Familiarity with keras-cv format - Experience working with Raspberry Pi - Proven track record in object detection models conversion.

I'm in need of a deep learning expert to develop a safet...specific platform compatibility is required at this stage. The system's primary goal is to ensure the safety of workers by accurately identifying if they are wearing safety helmets or not. While there are no explicit freelancer prerequisites for past work and detailed project proposals, expertise in the following areas would enhance your application: - Deep learning frameworks (like TensorFlow, Keras, PyTorch, etc.) - Computer vision - Image and video processing Understanding of workplace safety protocols would be a plus. Your task will involve developing the algorithm and training it with data sets to ensure maximum accuracy and efficiency in the real-world environment. Please apply if you can uphold the objecti...

I own a YOLOv8 model formatted in keras-cv and need a skilled professional to convert it into the latest version of TensorFlow Lite. The crucial function of my model is its real-time object detection capabilities. The objective is to utilize this model for object detection on a Raspberry Pi, and this functionality must be maintained post-conversion. Ideal Skills and Experience: - Proficiency in TensorFlow Lite - Experience in YOLOv8 model - Familiarity with keras-cv format - Experience working with Raspberry Pi - Proven track record in object detection models conversion.

I own a YOLOv8 model formatted in keras-cv and need a skilled professional to convert it into the latest version of TensorFlow Lite. The crucial function of my model is its real-time object detection capabilities. The objective is to utilize this model for object detection on a Raspberry Pi, and this functionality must be maintained post-conversion. Ideal Skills and Experience: - Proficiency in TensorFlow Lite - Experience in YOLOv8 model - Familiarity with keras-cv format - Experience working with Raspberry Pi - Proven track record in object detection models conversion.