BOOK_CHAPTERParameter sharing in RNN
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Covers: theory of Parameter Sharing
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Questions this item addresses:
  • How does Parameter Sharing help in training RNN?
How to use this item?

Read 2nd and 3rd paragraph in introduction

URL: https://www.deeplearningbook.org/contents/rnn.html
Author(s) / creator(s) / reference(s)
Deep Learning book
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Recurrent Neural Networks

Contributors
Total time needed: ~30 minutes
Objectives
Understand what is a Recurrent Neural Network
Potential Use Cases
Mathematical foundations behind Deep Learning
Who is This For ?
BEGINNERPeople interested in knowing how to use deep learning for modeling sequences.
Click on each of the following annotated items to see details.
BOOK_CHAPTER 1. What is a Recurrent Neural Network
  • What is a Recurrent Neural Network?
5 minutes
VIDEO 2. Motivation for RNN
  • What is the motivation behind using RNN?
10 minutes
BOOK_CHAPTER 3. Parameter sharing in RNN
  • How does Parameter Sharing help in training RNN?
10 minutes
ARTICLE 4. Parameter sharing versus Padding
  • How does Parameter Sharing help in training RNN?
5 minutes
ARTICLE 5. Unrolling of computational network
  • Unroll RNN computation graph?
10 minutes
ARTICLE 6. Unfolding Computational Graphs
  • Advantages of unfolding the graph?
20 minutes

Concepts Covered

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