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
We leverage artificial intelligence to analyze DNA sequences and classify them based on discernible motifs.
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.
A Python-based laboratory on Artificial Intelligence, featuring theoretical concepts and solutions
Neural Networks Basic Implementation In Python. Kindly refer to the PDF report for in depth discussion.
This program provides Neural Network with inner product layer in pytorch to solve a CTR prediction model training problem.
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