This repository features a 3-layer neural network built from scratch in Python, alongside TensorFlow and PyTorch versions.
Artificial neural network architecture for the classification of events related to the Higgs boson, with a focus on identifying subatomic particles associated with these events.
Official Implementation for SEDNet
Train a model using LSTM(Long short-term memory) to classify whether hotel reviews are positive or negative
Train a model using LSTM(Long short-term memory) to classify whether hotel reviews are positive or negative
Building and training a neural network with PyTorch to accurately predict the onset of diabetes from clinical measurements
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