Implementation of a custom TensorFlow/Keras model by subclassing tf.keras.Model. Includes custom layers, a user-defined loss function, and full control over the forward pass while maintaining compatibility with the Keras fit/evaluate workflow.
api deep-learning interactive tensorflow numpy keras regularization custom-model lowlevelapi custommodel low-level-api-tensorflow custom-layar--model
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Updated
Aug 17, 2025 - Jupyter Notebook