LSTM BathNorm Model

lstm_bathnorm_model.train_batchnorm_model()

LSTM BatchNorm Model

This module defines a deep learning model using TensorFlow and Keras with Batch Normalization for multi-class classification of time-series data.

Expected data format:

• Input: X_train.npy, X_test.npy (shape: [samples, 60, features])

• Labels: y_train.npy, y_test.npy (categorical class indices)

• Class weights: class_weights.json

The trained model is saved as HDF5 and Keras formats.