Buy new:
$79.99
List Price: $108.80
Save: $28.81 (26%)
FREE delivery Tuesday, June 6. Details
Or fastest delivery Tomorrow, June 3. Order within 49 mins. Details
In Stock
[{"displayPrice":"$79.99","priceAmount":79.99,"currencySymbol":"$","integerValue":"79","decimalSeparator":".","fractionalValue":"99","symbolPosition":"left","hasSpace":false,"showFractionalPartIfEmpty":true,"offerListingId":"mLxoockWk3sf7%2B9ua53Vm%2BGIMVkztaXrugme4lgjtQhln8IZs9ds3D4izjFyGVjIl3BbKg4MTWSwVBrFStCGEuIkQe8x2xlwwSR1S8lLKo6S%2F%2FI8Qk2mm%2B66FNFsjjqp73nfMOjr1BI%3D","locale":"en-CA","buyingOptionType":"NEW"}]
$$79.99 () Includes selected options. Includes initial monthly payment and selected options. Details
Price
Subtotal
$$79.99
Subtotal
Initial payment breakdown
Shipping cost, delivery date and order total (including tax) shown at checkout.
Your transaction is secure
We work hard to protect your security and privacy. Our payment security system encrypts your information during transmission. We don’t share your credit card details with third-party sellers, and we don’t sell your information to others. Learn more
Ships from and sold by Amazon.ca.
Return policy: Eligible for Return, Refund or Replacement within 30 days of receipt
This item can be returned in its original condition for a full refund or replacement within 30 days of receipt.
Deep Learning for Coders ... has been added to your Cart
Have one to sell?
Kindle app logo image

Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet or computer – no Kindle device required. Learn more

Read instantly on your browser with Kindle for Web.

Using your mobile phone camera, scan the code below and download the Kindle app.

QR code to download the Kindle app

Flip to back Flip to front
Listen Playing... Paused   You're listening to a sample of the Audible audio edition.
Learn more

Follow the Authors

Something went wrong. Please try your request again later.

Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD Paperback – Aug. 25 2020

4.7 4.7 out of 5 stars 451 ratings

Amazon Price
New from Used from
Kindle Edition
Paperback
$79.99
$63.91 $57.37

Purchase options and add-ons

Frequently bought together

$79.99
Get it by Tuesday, Jun 6
In Stock.
Ships from and sold by Amazon.ca.
+
$70.56
Get it by Tuesday, Jun 6
In Stock.
Ships from and sold by Amazon.ca.
Total price:
To see our price, add these items to your cart.
Details
Added to Cart
Choose items to buy together.

From the Publisher

deep learning, pytorch, fastai, coders, coding

From the Preface

Deep learning is a powerful new technology, and we believe it should be applied across many disciplines. Domain experts are the most likely to find new applications of it, and we need more people from all backgrounds to get involved and start using it.

That’s why Jeremy cofounded fast.ai, to make deep learning easier to use through free online courses and software. Sylvain is a research engineer at Hugging Face. Previously he was a research scientist at fast.ai and a former mathematics and computer science teacher in a program that prepares students for entry into France’s elite universities. Together, we wrote this book in the hope of putting deep learning into the hands of as many people as possible.

Who This Book Is For

If you are a complete beginner to deep learning & machine learning, you are most welcome here. Our only expectation is that you already know how to code, preferably in Python. If you are already a confident deep learning practitioner, you will also find a lot here.

In this book, we will be showing you how to achieve world-class results, including techniques from the latest research. As we will show, this doesn’t require advanced mathematical training or years of study. It just requires a bit of common sense and tenacity.

No Experience? No Problem!

If you don’t have any experience coding, that’s OK too! The first three chapters have been explicitly written in a way that will allow executives, product managers, etc. to understand the most important things they’ll need to know about deep learning. When you see bits of code in the text, try to look them over to get an intuitive sense of what they’re doing. We’ll explain them line by line. The details of the syntax are not nearly as important as a high-level understanding of what’s going on.

What You Need to Know

As we said before, the only prerequisite is that you know how to code (a year of experience is enough), preferably in Python, and that you have at least followed a high school math course. It doesn’t matter if you remember little of it right now; we will brush up on it as needed. Khan Academy has great free resources online that can help.

We are not saying that deep learning doesn’t use math beyond high school level, but we will teach you (or direct you to resources that will teach you) the basics you need as we cover the subjects that require them.

The book starts with the big picture and progressively digs beneath the surface, so you may need, from time to time, to put it aside and go learn some additional topic (a way of coding something or a bit of math). That is completely OK, and it’s the way we intend the book to be read. Start browsing it, and consult additional resources only as needed.

Please note that Kindle or other ereader users may need to double-click images to view the full-sized versions.

Product description

About the Author

Jeremy Howard is an entrepreneur, business strategist, developer, and educator. Jeremy is a founding researcher at fast.ai, a research institute dedicated to making deep learning more accessible. He is also a Distinguished Research Scientist at the University of San Francisco, a faculty member at Singularity University, and a Young Global Leader with the World Economic Forum.

Jeremy’s most recent startup, Enlitic, was the first company to apply deep learning to medicine, and has been selected one of the world’s top 50 smartest companies by MIT Tech Review two years running. He was previously the President and Chief Scientist of the data science platform Kaggle, where he was the top ranked participant in international machine learning competitions 2 years running. He was the founding CEO of two successful Australian startups (FastMail, and Optimal Decisions Group–purchased by Lexis-Nexis). Before that, he spent 8 years in management consulting, at McKinsey & Co, and AT Kearney. Jeremy has invested in, mentored, and advised many startups, and contributed to many open source projects.

He has many television and other video appearances, including as a regular guest on Australia’s highest-rated breakfast news program, a popular talk on TED.com, and data science and web development tutorials and discussions.

Sylvain is a former teacher and a Research Scientist at fast.ai, with a focus on making deep learning more accessible by designing and improving techniques that allow models to train fast on limited resources.

Prior to this, Sylvain wrote several books covering the entire curriculum he was teaching in France (published at Éditions Dunod) until 2015 in CPGE. CPGE are a French specific two-year program whereby handpicked students who graduated high school follow an intense preparation before sitting for the competitive exam to enter the top engineering and business schools of the country. Sylvain taught computer science and mathematics in that program for seven years.

Sylvain is an alumni from École Normale Supérieure (Paris, France) where he studied mathematics and has a Master’s Degree in mathematics from University Paris XI (Orsay, France).

Product details

  • Publisher ‏ : ‎ O'Reilly Media; 1st edition (Aug. 25 2020)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 621 pages
  • ISBN-10 ‏ : ‎ 1492045527
  • ISBN-13 ‏ : ‎ 978-1492045526
  • Item weight ‏ : ‎ 100 g
  • Dimensions ‏ : ‎ 17.53 x 2.79 x 23.11 cm
  • Customer Reviews:
    4.7 4.7 out of 5 stars 451 ratings

About the authors

Follow authors to get new release updates, plus improved recommendations.

Customer reviews

4.7 out of 5 stars
4.7 out of 5
451 global ratings

Top reviews from Canada

Reviewed in Canada 🇨🇦 on May 7, 2023
Reviewed in Canada 🇨🇦 on January 12, 2021
Verified Purchase
Reviewed in Canada 🇨🇦 on August 10, 2020
Verified Purchase
Reviewed in Canada 🇨🇦 on November 21, 2020

Top reviews from other countries

Tom Prendergast
5.0 out of 5 stars Great
Reviewed in the United Kingdom 🇬🇧 on December 2, 2020
Verified Purchase
7 people found this helpful
Report
Preeti Gopal
5.0 out of 5 stars Awesome
Reviewed in India 🇮🇳 on December 7, 2020
Verified Purchase
8 people found this helpful
Report
Sam
5.0 out of 5 stars Original and great quality
Reviewed in India 🇮🇳 on October 24, 2020
Verified Purchase
Customer image
Sam
5.0 out of 5 stars Original and great quality
Reviewed in India 🇮🇳 on October 24, 2020
I have known Jeremy's FastAI courses for a couple years now and am glad for this book that comes in the light of his recent complete rewrite of the FastAi library. It is very useful to get acquainted with Deep Learning for those who already know coding. I am currently in Chapter 2 and would need more time to write a more detailed review.
Images in this review
Customer image
Customer image
3 people found this helpful
Report
Pankaj Joshi
5.0 out of 5 stars Fastest route to master enough Deep learning to be productive.
Reviewed in Germany 🇩🇪 on August 30, 2020
Verified Purchase
6 people found this helpful
Report
Raul De Castro
5.0 out of 5 stars El mejor contenido "manos a la obra" al momento
Reviewed in Mexico 🇲🇽 on October 27, 2020
Verified Purchase
Customer image
Raul De Castro
5.0 out of 5 stars El mejor contenido "manos a la obra" al momento
Reviewed in Mexico 🇲🇽 on October 27, 2020
Excelente impresión y por supuesto, una de las mejores elecciones de libro del tema. Entre un vasto cuerpo de.cosas por aprender, consideraría a esta obra como el eje fundamental y práctico para entrar o profundizar en la practica de Deep Learning.
Images in this review
Customer image Customer image
Customer imageCustomer image
One person found this helpful
Report