Listen free for 30 days

Listen with offer

Preview
  • Deep Learning

  • The Comprehensive Guide to Machine Learning with Python
  • By: Gabriel Baker
  • Narrated by: J.M. DeBord
  • Length: 3 hrs and 53 mins
  • 4.9 out of 5 stars (75 ratings)

£0.00 for first 30 days

Pick 1 audiobook a month from our unmatched collection - including bestsellers and new releases.
Listen all you want to thousands of included audiobooks, Originals, celeb exclusives, and podcasts.
Access exclusive sales and deals.
£7.99/month after 30 days. Renews automatically. See here for eligibility.

Deep Learning

By: Gabriel Baker
Narrated by: J.M. DeBord
Try for £0.00

£7.99/month after 30 days. Renews automatically. See here for eligibility.

Buy Now for £11.99

Buy Now for £11.99

Pay using card ending in
By completing your purchase, you agree to Audible's Conditions of Use and authorise Audible to charge your designated card or any other card on file. Please see our Privacy Notice, Cookies Notice and Interest-based Ads Notice.

Summary

Yes, you can master deep learning. Here’s how!

If you’ve been to any tech news site recently, you’ve probably been bombarded with phrases like “artificial intelligence”, “data science”, and “deep learning”. These concepts are hot right now and tech companies all over the world are desperately searching for experts in these fields.

Deep learning is a very exciting concept. Before, computers could only do what they were directly taught. Today, they can make sense of unstructured data and learn without supervision, like good college students. This unsupervised learning from unstructured data is called deep learning.

This book will explain the key concepts of deep learning and teach you the basics of Python, the programming language most widely used in deep learning.

Here’s what you’ll learn:

  • The foundations of Python - this programming language is a MUST if you’d like to dabble in deep learning
  • The surprising differences between the concepts of artificial intelligence, deep learning, machine learning, and data science
  • Easy-to-understand practical applications of deep learning such as image recognition, fraud detection, and many others
  • What “big data” is and why you should care
  • And much, much more!

Even if programming scares you, you’ll still benefit greatly from this book. You don’t have to be a coder to understand and appreciate the benefits of deep learning technologies.

Are you ready to learn more?

Get your copy now!

©2019 Gabriel Baker (P)2020 Gabriel Baker
activate_Holiday_promo_in_buybox_DT_T2

Listeners also enjoyed...

Python Machine Learning cover art
Python for Beginners 2020 cover art
AWS: A Comprehensive Guide to Mastering Amazon Web Services cover art
Python Programming cover art
Python Programming cover art
Python Programming cover art
Machine Learning and Artificial Intelligence, Two-Book Bundle cover art
Liquid Software cover art
Machine Learning for Smart Learners cover art
Computer Science 2.0 Beginners Crash Course cover art
Machine Learning cover art
SQL: The Ultimate and Simplifed Beginner's Guide to Mastery SQL Programming Step by Step - 2020 Edition cover art
Computer Networking First Step cover art
Machine Learning 2020 cover art
Computer Networking: All in One cover art
Computer Science Beginners Crash Course cover art

What listeners say about Deep Learning

Average customer ratings
Overall
  • 5 out of 5 stars
  • 5 Stars
    74
  • 4 Stars
    0
  • 3 Stars
    0
  • 2 Stars
    0
  • 1 Stars
    1
Performance
  • 5 out of 5 stars
  • 5 Stars
    74
  • 4 Stars
    0
  • 3 Stars
    0
  • 2 Stars
    0
  • 1 Stars
    1
Story
  • 5 out of 5 stars
  • 5 Stars
    74
  • 4 Stars
    0
  • 3 Stars
    0
  • 2 Stars
    0
  • 1 Stars
    1

Reviews - Please select the tabs below to change the source of reviews.

Sort by:
Filter by:
  • Overall
    1 out of 5 stars
  • Performance
    1 out of 5 stars
  • Story
    1 out of 5 stars

Terrible.

Terrible English. No accompanying PDF. A waste of money. Even the Kindle version is bad. Don't bother.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!