Class to automatic create Convolutional Neural Network in PyTorch
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Updated
Aug 14, 2021 - Python
Class to automatic create Convolutional Neural Network in PyTorch
A web application developed using Streamlit that leverages federated learning (FL) to collaboratively train a character-level recurrent neural network (CharRNN) model for text generation. The model is specifically trained on a custom dataset of Linux errors and their solutions.
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Neural Networks Basic Implementation In Python. Kindly refer to the PDF report for in depth discussion.
A Python-based laboratory on Artificial Intelligence, featuring theoretical concepts and solutions
This program provides Neural Network with inner product layer in pytorch to solve a CTR prediction model training problem.
Benchmarking and comparative analysis of custom PyTorch linear layer variants against the standard PyTorch nn.Linear.
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