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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.
This program provides Neural Network with inner product layer in pytorch to solve a CTR prediction model training problem.
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.