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The Applied TensorFlow and Keras Workshop

You're reading from The Applied TensorFlow and Keras Workshop Develop your practical skills by working through a real-world project and build your own Bitcoin price prediction tracker

Product type Paperback

Published in Jul 2020

Publisher Packt

ISBN-13 9781800201217

Length 174 pages

Edition 1st Edition

Languages

Python

Tools

Bitcoin

Concepts

Deep Learning

Authors (2):

Luis Capelo

Harveen Singh Chadha

View More author details

Table of Contents (6) Chapters

Preface

1. Introduction to Neural Networks and Deep Learning

2. Real-World Deep Learning: Predicting the Price of Bitcoin FREE CHAPTER

3. Real-World Deep Learning: Evaluating the Bitcoin Model

4. Productization

Appendix

Summary

In this chapter, we have assembled a complete deep learning system, from data to prediction. The model created in this activity requires a number of improvements before it can be considered useful. However, it serves as a great starting point from which we will continuously improve.

The next chapter will explore techniques for measuring the performance of our model and will continue to make modifications until we reach a model that is both useful and robust.

You have been reading a chapter from

The Applied TensorFlow and Keras Workshop

Published in: Jul 2020

Publisher: Packt

ISBN-13: 9781800201217

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Authors (2)

Harveen Singh Chadha

Harveen Singh Chadha

Harveen Singh Chadha is an experienced researcher in deep learning and is currently working as a self-driving car engineer. He is focused on creating an advanced driver assistance systems (ADAS) platform. His passion is to help people who want to enter the data science universe. He is the author of the video course Hands-On Neural Network Programming with TensorFlow.

See other products by Harveen Singh Chadha

Luis Capelo

Luis Capelo

Luis Capelo is a Harvard-trained analyst and a programmer, who specializes in designing and developing data science products. He is based in New York City, America. Luis is the head of the Data Products team at Forbes, where they investigate new techniques for optimizing article performance and create clever bots that help them distribute their content. He worked for the United Nations as part of the Humanitarian Data Exchange team (founders of the Center for Humanitarian Data). Later on, he led a team of scientists at the Flowminder Foundation, developing models for assisting the humanitarian community. Luis is a native of Havana, Cuba, and the founder and owner of a small consultancy firm dedicated to supporting the nascent Cuban private sector.

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