You're reading from Mastering PyTorch

Product typeBook

Published inFeb 2021

Reading LevelIntermediate

PublisherPackt

ISBN-139781789614381

Edition1st Edition

Languages

Python

Tools

PyTorch

Concepts

Deep Learning

Author (1)

Ashish Ranjan Jha

Discussing GRUs and attention-based models

In the final section of this chapter, we will briefly look at GRUs, how they are similar yet different from LSTMs, and how to initialize a GRU model using PyTorch. We will also look at attention-based (RNNs). We will conclude this section by describing how attention-only (no recurrence or convolutions)-based models outperform the recurrent family of neural models when it comes to sequence modeling tasks.

GRUs and PyTorch

As we discussed in the Exploring the evolution of recurrent networks section, GRUs are a type of memory cell with two gates – a reset gate and an update gate, as well as one hidden state vector. In terms of configuration, GRUs are simpler than LSTMs and yet equally effective in dealing with the exploding and vanishing gradients problem. Tons of research has been done to compare the performance of LSTMs and GRUs. While both perform better than the simple RNNs on various sequence-related tasks, one is slightly better...

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Mastering PyTorch

Published in: Feb 2021Publisher: PacktISBN-13: 9781789614381

Author (1)

Ashish Ranjan Jha

Ashish Ranjan Jha received his bachelor's degree in electrical engineering from IIT Roorkee (India), a master's degree in Computer Science from EPFL (Switzerland), and an MBA degree from Quantic School of Business (Washington). He has received a distinction in all 3 of his degrees. He has worked for large technology companies, including Oracle and Sony as well as the more recent tech unicorns such as Revolut, mostly focused on artificial intelligence. He currently works as a machine learning engineer. Ashish has worked on a range of products and projects, from developing an app that uses sensor data to predict the mode of transport to detecting fraud in car damage insurance claims. Besides being an author, machine learning engineer, and data scientist, he also blogs frequently on his personal blog site about the latest research and engineering topics around machine learning.
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You're reading from Mastering PyTorch

Discussing GRUs and attention-based models

GRUs and PyTorch

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