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Deep Learning with Python: A Hands-on Introduction
book

Deep Learning with Python: A Hands-on Introduction

by Nikhil Ketkar
April 2017
Intermediate to advanced
235 pages
5h 48m
English
Apress
Content preview from Deep Learning with Python: A Hands-on Introduction

© Nikhil Ketkar 2017

Nikhil Ketkar, Deep Learning with Python, https://doi.org/10.1007/978-1-4842-2766-4_4

4. Introduction to Theano

Nikhil Ketkar

(1)Bangalore, Karnataka, India

In this chapter we introduce the reader to Theano , which is a Python library for defining mathematical functions (operating over vectors and matrices), and computing the gradients of these functions. Theano is the foundational layer on which many deep learning packages like Keras are based.

What is Theano

As we have seen before, building deep learning models fundamentally involves optimizing loss functions using stochastic gradient descent (SGD), requiring the computation of the gradient of loss function. As loss functions in deep learning are complicated, it is not convenient ...

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