Titlebook: Deep Learning with Python; A Hands-on Introduct Nikhil Ketkar Book 2017 Nikhil Ketkar 2017 Deep Learning.Python.Keras.Theano.Caffe.Deep Lea

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Overview: Background and ApplicationsThroughout the book we have covered the theoretical aspects of models and introduced the reader to a number of frameworks for deep learning. In this chapter we will cover the process of training deep learning models.

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Introduction to Deep Learning,This chapter provides a broad overview and an historical context on the subject of deep learning. It also gives the reader a roadmap for navigating the book, its prerequisites, and further reading to dive deeper into the subject matter.

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Convolutional Neural Networks,Convolution Neural Networks (CNNs) in essence are neural networks that employ the convolution operation (instead of a fully connected layer) as one of its layers.

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Automatic Differentiation,In the chapter on Stochastic Gradient Descent, we treated the computation of gradients of the loss function as a black box.