How do I apply Cosine Annealing for learning rate scheduling in Keras

Question

Can i know How do I apply Cosine Annealing for learning rate scheduling in Keras?

Answer 1

Use tf.keras.optimizers.schedules.CosineDecay or CosineDecayRestarts for learning rate scheduling in Keras.

Here is the code snippet you can refer to:

In the above code, we are using the following approaches:

• Cosine Decay: Smoothly reduces learning rate following a cosine curve.
• Prevents Overfitting: Avoids premature convergence with slow annealing.
• Hyperparameter Flexibility: Supports setting initial LR, decay steps, and minimum LR.
• Compatible with Adam/SGD: Works with most optimizers for stable training.

Hence, CosineDecay in Keras efficiently schedules the learning rate to improve convergence and generalization in deep learning models.

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