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The Deep Learning Workshop

You're reading from The Deep Learning Workshop Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras

Product type Paperback

Published in Jul 2020

Publisher Packt

ISBN-13 9781839219856

Length 474 pages

Edition 1st Edition

Languages

Python

Tools

Keras

Concepts

Deep Learning

Authors (5):

Nipun Sadvilkar

Thomas Joseph

Anthony So

Mohan Kumar Silaparasetty

Mirza Rahim Baig

+1 more

View More author details

Table of Contents (9) Chapters

Preface

1. Building Blocks of Deep Learning

2. Neural Networks FREE CHAPTER

3. Image Classification with Convolutional Neural Networks (CNNs)

4. Deep Learning for Text – Embeddings

5. Deep Learning for Sequences

6. LSTMs, GRUs, and Advanced RNNs

7. Generative Adversarial Networks

Appendix

More Variants of RNNs

We've seen quite a few variations of RNNs in this chapter – covering all the prominent ones and the major upcoming (in terms of popularity) variations. Sequence modeling and its associated architectures are a hot area of research, and we see plenty of developments coming in every year. Many variants aim to make lighter models with fewer parameters that aren't as hardware hungry as current RNNs. Clockwork RNNs (CWRNNs) are a recent development and show great success. There are also Hierarchal Attention Networks, built on the idea of attention, but ultimately also propose that you shouldn't use RNNs as building blocks. There's a lot going on in this exciting area, so keep your eyes and ears open for the next big idea.

Activity 6.01: Sentiment Analysis of Amazon Product Reviews

So far, we've looked at the variants of RNNs and used them to predict sentiment on movie reviews from the IMDb dataset. In this activity, we will build...

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Authors (5)

Mirza Rahim Baig

Mirza Rahim Baig

Mirza Rahim Baig is a Data Science and Artificial Intelligence leader with over 13 years of experience across e-commerce, healthcare, and marketing. He currently holds the position of leading Product Analytics at Marketing Services for Zalando, Europe's largest online fashion platform. In addition, he serves as a Subject Matter Expert and faculty member for MS level programs at prominent Ed-Tech platforms and institutes in India. He is also the lead author of two books, 'Data Science for Marketing Analytics' and 'The Deep Learning Workshop,' both published by Packt. He is recognized as a thought leader in my field and frequently participates as a guest speaker at various forums.

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Thomas Joseph

Thomas Joseph

Thomas V. Joseph is a data science practitioner, researcher, trainer, mentor, and writer with more than 19 years of experience. He has extensive experience in solving business problems using machine learning toolsets across multiple industry segments.

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Anthony So

Anthony So

Anthony So is a renowned leader in data science. He has extensive experience in solving complex business problems using advanced analytics and AI in different industries including financial services, media, and telecommunications. He is currently the chief data officer of one of the most innovative fintech start-ups. He is also the author of several best-selling books on data science, machine learning, and deep learning. He has won multiple prizes at several hackathon competitions, such as Unearthed, GovHack, and Pepper Money. Anthony holds two master's degrees, one in computer science and the other in data science and innovation.

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Nipun Sadvilkar

Nipun Sadvilkar

Nipun Sadvilkar is a senior data scientist at US healthcare company leading a team of data scientists and subject matter expertise to design and build the clinical NLP engine to revamp medical coding workflows, enhance coder efficiency, and accelerate revenue cycle. He has experience of more than 3 years in building NLP solutions and web-based data science platforms in the area of healthcare, finance, media, and psychology. His interests lie at the intersection of machine learning and software engineering with a fair understanding of the business domain. He is a member of the regional and national python community. He is author of pySBD - an NLP open-source python library for sentence segmentation which is recognized by ExplosionAI (spaCy) and AllenAI (scispaCy) organizations.

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Mohan Kumar Silaparasetty

Mohan Kumar Silaparasetty

Mohan Kumar Silaparasetty is seasoned deep learning and AI professional. He is a graduate from IIT Kharagpur with more than 25 years of industry experience in a variety of roles. After having a successful corporate career, Mohan embarked on his entrepreneurial journey and is the co-founder and CEO of Trendwise Analytics. This company provides consulting and training in AI and deep learning. He is also the organizer of the Bangalore Artificial intelligence Meetup group with over 3500 members.

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