Grokking Deep Learning

书籍目录

书籍简介

本书pdf是文字版 。

introducing deep learning: why you should learn it

fundamental concepts: how do machines learn?

introduction to neural prediction: forward propagation

introduction to neural learning: gradient descent

learning multiple weights at a time: generalizing gradient descent

building your first deep neural network: introduction to backpropagation

how to picture neural networks: in your head and on paper

learning signal and ignoring noise: introduction to regularization and batching

modeling probabilities and nonlinearities: activation functions

neural learning about edges and corners: intro to convolutional neural networks

neural networks that understand language: king – man + woman == ?

neural networks that write like Shakespeare: recurrent layers for variable-length data

introducing automatic optimization: let’s build a deep learning framework

learning to write like Shakespeare: long short-term memory

deep learning on unseen data: introducing federated learning

where to go from here: a brief guide