Deep Learning Illustrated

Deep Learning Illustrated is a comprehensive guide to deep learning, offering a unique visual and interactive approach.

It explains deep learning techniques through straightforward analogies, vivid illustrations, and hands-on Python code in Jupyter notebooks.

The book covers essential theory, including artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), and deep reinforcement learning.

It also focuses on practical applications such as machine vision, natural language processing, image generation, and game-playing algorithms, using libraries like Keras, TensorFlow, and PyTorch.