Improving accuracy of a Neural Network in Federated Learning using flower framework
₹600-1500 INR
Cerrado
Publicado hace alrededor de 1 año
₹600-1500 INR
Pagado a la entrega
I'm looking for an experienced programmer to help me improve the accuracy of a Neural Network I'm developing using federated learning. The exact model architecture I am considering is a simple NN developed using PyTorch NN. For the optimization technique, I will be skipping the question altogether and focusing on the flower framework. Specifically, I need someone to help me use the flwr flower framework to optimize my neural network and ensure it meets my desired metrics. The scope of this project includes all aspects of configuring and deploying the trained model, including data pre-processing, optimization hyper-parameters tuning, computation logic and more. The successful candidate should possess extensive knowledge of federated learning and its various component frameworks. They should also be proficient in coding with various technologies related to neural networks such as PyTorch, TensorFlow, and flwr. I am excited to bring this project to its full potential, so if you are ready to join me on this journey, please do reach out!
Hello,
I am very familiarized with the requirements of your projects. And it can be done really fast.
Let's connect over chat to discuss more on this.
Thanks
I'm Shahawar, a Full Stack Developer with extensive experience in AI and Machine Learning. I have the necessary skills and expertise to help you improve the accuracy of your Neural Network using federated learning. Specifically, I can help you use the flwr framework to optimize your network and ensure it meets your desired metrics.
I understand that this project includes configuring and deploying the trained model, including data pre-processing, optimization hyper-parameters tuning, computation logic and more. This is something that requires extensive knowledge of federated learning and its various component frameworks as well as proficiency in coding with various technologies related to neural networks such as PyTorch.
I am excited to join you on this journey toward improving accuracy of your Neural Network. Please do not hesitate to reach out if you are interested in this project!