Subscription

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Learning Hub

Conferences

Free Learning

You're reading from Applied Deep Learning with Python Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions

Product type Paperback

Published in Aug 2018

Publisher

ISBN-13 9781789804744

Length 334 pages

Edition 1st Edition

Languages

Python

Tools

Keras

Concepts

Deep Learning

Authors (2):

Alex Galea

Luis Capelo

View More author details

Table of Contents (9) Chapters

Preface

1. Jupyter Fundamentals

2. Data Cleaning and Advanced Machine Learning FREE CHAPTER

3. Web Scraping and Interactive Visualizations

4. Introduction to Neural Networks and Deep Learning

5. Model Architecture

6. Model Evaluation and Optimization

7. Productization

8. Other Books You May Enjoy

Leave a review - let other readers know what you think

Who this book is for

If you’re a Python programmer stepping out into the world of data science, this is the right-way to get started. It is also ideal for experienced developers, analysts, or data scientists, who want to work with TensorFlow and Keras. We assume that you are familiar with Python, web application development, Docker commands, and concepts of linear algebra, probability, and statistics.

The rest of the chapter is locked

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $19.99/month. Cancel anytime

Authors (2)

Galea

Alex Galea has been professionally practicing data analytics since graduating with a masters degree in physics from the University of Guelph, Canada. He developed a keen interest in Python while researching quantum gases as part of his graduate studies. Alex is currently doing web data analytics, where Python continues to play a key role in his work. He is a frequent blogger about data-centric projects that involve Python and Jupyter Notebooks.

See other products by Galea

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.

See other products by Luis Capelo