This repository features a 3-layer neural network built from scratch in Python, alongside TensorFlow and PyTorch versions.
Official Implementation for SEDNet
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
Train a model using LSTM(Long short-term memory) to classify whether hotel reviews are positive or negative
This project predicts loan approval outcomes (Approved/Rejected) using a PyTorch neural network. It includes data preprocessing, train/validation/test split, model training with BCEWithLogitsLoss, and inference with probability-based classification.
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