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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_6

6. Recurrent Neural Networks

Nikhil Ketkar

(1)Bangalore, Karnataka, India

Recurrent Neural Networks (RNNs) in essence are neural networks that employ recurrence, which is basically using information from a previous forward pass over the neural network. Essentially, all RNN’s can be described as a recurrence relationship. RNNs are suited and have been incredibly successful when applied to problems wherein the input data on which the predictions are to be made is in the form of a sequence (series of entities where order is important).

RNN Basics

Let us start by describing the moving parts of a RNN. First, we introduce some notation .

  1. We will ...

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