neural network implement for my edge computing task in python - 11/01/2024 04:51 EST

Hello, How are you? I have 6+ years experience in Machine Learning (ML) , Python and Statistics . I can assist you with this project and deliver it as soon as possible. Please leave a message through chat so that we can discuss the details of the project.

Hey! I've worked on a number of projects similar to this one. I have a lot of experience and knowledge in this field. My knowledge of business also gives me an advantage in this situation. Looking forward for the opportunity. Thanks

As a seasoned engineer with a Master’s in Data Science from London School of Economics, I offer a rich skillset that encompasses not only neural network implementation in Python but also time series forecasting which is closely connected to your project needs. Having utilized TensorFlow and PyTorch for over seven years, I have acquired an innate understanding of their functionalities and am adept at troubleshooting any issues, including like the convergence problem you mentioned. Moreover, my familiarity with Ethereum Virtual Machine and Cryptocurrency exchanges demonstrates my ability to work effectively with real-world datasets and complex models -- crucial for handling your vehicle scenario generation task. To add to this, I have successfully tackled intricacies of deploying applications on multiple blockchains like Binance Smart Chain, Ethereum, Polygon, enabling me to navigate any blockchain related challenges we may encounter during the project. Lastly, my experience of programming 'Sports Betting Model' equipped with custom loss functions along with the ability to detect anomalies in odds employing deep learning indicates my prowess at tailoring existing models to tackle specific challenges. Hence, not only can I help you converge your DDPG Actor-Critic Model successfully but also ensure that it satisfies your unique use case. Put simply, I have the knowledge, the experience and above all, the commitment to exceed your expectations on this project.