imehranasgari/DL_TensorFlow_LowLevelAPI_CustomSubClassModel

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

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Jupyter Notebook

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Apache-2.0

Category

tensorflow-certificate-courses

Last pushed

Aug 17, 2025

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TensorFlow Certificate Courses · 160 frameworks

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