This repository features a 3-layer neural network built from scratch in Python, alongside TensorFlow and PyTorch versions.
Official Implementation for SEDNet
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.
Building and training a neural network with PyTorch to accurately predict the onset of diabetes from clinical measurements
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
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