Kovera Artem. Deep Learning from Scratch: From Basics to Building Real Neural Networks in Python with Keras

Amazon Digital Services LLC, 2018. — 189 p.This introduction will help you develop a good understanding of deep learning completely from scratchThis book covers:Introduction to machine learning and deep learning
Math for deep learning explained to the layman
How neural networks work: a general overview
Activation functions in deep networks
Loss functions
Weight initialization and batch normalization
Overfitting and underfitting and methods to overcome them in deep neural networks
How to evaluate deep learning models
Introduction to transfer learning with deep neural networks
How to set up optimal hyper-parameters for deep models
Convolutional neural networks
Recurrent Neural Networks
Adversarial neural networks
Deep reinforcement learning