What are some advanced techniques in Keras for deep learning?

What are some advanced techniques in Keras for deep learning?

Some advanced techniques in Keras include transfer learning, data augmentation, and custom callbacks.

Can you explain transfer learning and how to implement it in Keras?

Transfer learning involves using a pre-trained model on a new task. In Keras, you can load a model like VGG16 and fine-tune it.

What is data augmentation and why is it important?

Data augmentation artificially increases the size of your training dataset by creating modified versions of images, which helps improve model generalization.

How do I create custom callbacks in Keras?

You can create custom callbacks by subclassing keras.callbacks.Callback and overriding methods like on_epoch_end.