Multi-GPU and TPU Support

Keras can distribute model training across multiple GPUs or TPUs with minimal code changes, making it suitable for scaling up training for large datasets and models. TensorFlow’s tf.distribute.Strategy API can be used to distribute the training process across devices.

• Example:pythonCopy codestrategy = tf.distribute.MirroredStrategy() with strategy.scope(): model = Sequential([...]) model.compile(optimizer='adam', loss='categorical_crossentropy')