- Gradient clipping can prevent exploding gradients in recurrent neural networks (RNNs) and deep models by capping the gradients during backpropagation.pythonCopy code
from tensorflow.keras.optimizers import Adam model.compile(optimizer=Adam(clipvalue=1.0), loss='categorical_crossentropy', metrics=
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