Advanced-Deep-Learning-with-Keras

Why we included this project

Anyone working through the second edition of Packt's Advanced Deep Learning with TensorFlow 2 and Keras will want this companion repository close at hand, since every chapter's runnable example lives here as a standalone script. The code starts with MLP, CNN, and RNN basics, then moves through ResNet and DenseNet into autoencoders, GANs, variational autoencoders, and deep reinforcement learning, so a learner can jump straight to the topic they are studying. Each example is small enough to run and tinker with, which makes it a practical reference for seeing how a specific architecture is wired rather than a polished library. Since the code was updated for the TensorFlow 2 Keras API, it still matches how many people write deep learning today. It is an educational resource rather than something you would deploy directly into a product, but that is exactly what makes it useful for building intuition.