The book is structured around the following key topics: fundamentals of neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative models, and reinforcement learning. The book also provides programming intuition, which helps readers understand how to implement deep learning algorithms using popular frameworks such as Tensor Flow or Py Torch.