Implementation of a custom TensorFlow/Keras model by subclassing tf.keras.Model, including custom layers, a user-defined loss function, and full control over the forward pass. Demonstrates dataset loading, preprocessing, and training on MNIST using the Model Subclassing API for maximum flexibility
python api deep-learning interactive tensorflow numpy keras classification model-subclassing lowlevelapi customsubclassmodel low-level-api-tensorflow custom-layar--model
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Updated
Aug 17, 2025 - Jupyter Notebook