Value: $76.86
(as of Sep 06, 2025 08:47:54 UTC – Particulars)
Printed in full colour! Unlock the groundbreaking advances of deep studying with this extensively revised new version of the bestselling unique. Be taught instantly from the creator of Keras and grasp sensible Python deep studying methods which are simple to use in the actual world.
In Deep Studying with Python, Second Version you’ll study:
Deep studying from first rules
Picture classification and picture segmentation
Timeseries forecasting
Textual content classification and machine translation
Textual content technology, neural type switch, and picture technology
Full colour printing all through
Deep Studying with Python has taught hundreds of readers learn how to put the total capabilities of deep studying into motion. This extensively revised full colour second version introduces deep studying utilizing Python and Keras, and is loaded with insights for each novice and skilled ML practitioners. You’ll study sensible methods which are simple to use in the actual world, and vital idea for perfecting neural networks.
Buy of the print e-book features a free eBook in PDF, Kindle, and ePub codecs from Manning Publications.
In regards to the know-how
Latest improvements in deep studying unlock thrilling new software program capabilities like automated language translation, picture recognition, and extra. Deep studying is rapidly turning into important data for each software program developer, and fashionable instruments like Keras and TensorFlow put it inside your attain—even you probably have no background in arithmetic or information science. This e-book exhibits you learn how to get began.
In regards to the e-book
Deep Studying with Python, Second Version introduces the sector of deep studying utilizing Python and the highly effective Keras library. On this revised and expanded new version, Keras creator François Chollet affords insights for each novice and skilled machine studying practitioners. As you progress by this e-book, you’ll construct your understanding by intuitive explanations, crisp colour illustrations, and clear examples. You’ll rapidly decide up the abilities you should begin growing deep-learning functions.
What’s inside
Deep studying from first rules
Picture classification and picture segmentation
Time collection forecasting
Textual content classification and machine translation
Textual content technology, neural type switch, and picture technology
Full colour printing all through
In regards to the reader
For readers with intermediate Python abilities. No earlier expertise with Keras, TensorFlow, or machine studying is required.
In regards to the writer
François Chollet is a software program engineer at Google and creator of the Keras deep-learning library.
Desk of Contents
1 What’s deep studying?
2 The mathematical constructing blocks of neural networks
3 Introduction to Keras and TensorFlow
4 Getting began with neural networks: Classification and regression
5 Fundamentals of machine studying
6 The common workflow of machine studying
7 Working with Keras: A deep dive
8 Introduction to deep studying for pc imaginative and prescient
9 Superior deep studying for pc imaginative and prescient
10 Deep studying for timeseries
11 Deep studying for textual content
12 Generative deep studying
13 Greatest practices for the actual world
14 Conclusions
From the Writer
Buyer Evaluations
4.7 out of 5 stars 424
4.5 out of 5 stars 157
4.4 out of 5 stars 134
4.4 out of 5 stars 50
4.7 out of 5 stars 77
4.4 out of 5 stars 20
Value
$59.99$59.99 $46.99$46.99 $49.99$49.99 $50.99$50.99 $49.99$49.99 $49.99$49.99
Consumer Expertise Degree
Intermediate Newbie Intermediate Intermediate Intermediate Skilled
Readers Who Need
Deep studying from the bottom up. Pleasant illustrated tutorial on deep studying fundamentals Skilled information to picture and textual content processing with PyTorch Apply deep studying by constructing a whole mission Severe introduction to deep learning-based picture processing Bayesian inference and probablistic programming for deep studying
Appropriate with
Python 3 Python 3 Python 3 Python 3 Python 3 Python 3
Particular Options
Written by Keras creator François Chollet Be taught core deep studying algorithms utilizing solely highschool arithmetic. Contains an in-depth take a look at figuring out anomalies in medical photographs Construct a whole Go-playing bot that may problem severe gamers A complete take a look at deep studying for picture suggestion and classification Create deep studying techniques that return ranges of outcomes primarily based on chance
Reward
“Chollet explains advanced ideas with minimal fuss. A pleasure to learn.” — Martin Görner, Google “From a masterful trainer who guides, illuminates, and encourages you alongside the best way.” — Kelvin D. Meeks, Worldwide Know-how Ventures “We lastly have a definitive treatise on PyTorch.” — From the Foreword by Soumith Chintala, Co-creator of PyTorch “Impressed and galvanizing. Extremely advisable!” — Burk Hufnagel, Daugherty Enterprise Options “Actual-world downside fixing with out drowning you in particulars.” — Burhan Ul Haq, Audit XPRT “Complete walkthrough with a lot of sensible examples.” — Diego Casella, Centrica Enterprise Options, Belgium
Web page Rely
504 336 520 384 480 296
Writer : Manning
Publication date : Dec 21 2021
Version : 2nd
Language : English
Print size : 504 pages
ISBN-10 : 1617296864
ISBN-13 : 978-1617296864
Merchandise weight : 1.07 kg
Dimensions : 18.73 x 3.3 x 23.5 cm
Greatest Sellers Rank: #74,193 in Books (See Prime 100 in Books) #31 in A.I. Neural Networks #63 in Python (Books) #104 in AI Machine Studying
Buyer Evaluations: 4.7 4.7 out of 5 stars 424 rankings var dpAcrHasRegisteredArcLinkClickAction; P.when(‘A’, ‘prepared’).execute(perform(A) { if (dpAcrHasRegisteredArcLinkClickAction !== true) { dpAcrHasRegisteredArcLinkClickAction = true; A.declarative( ‘acrLink-click-metrics’, ‘click on’, { “allowLinkDefault”: true }, perform (occasion) { if (window.ue) 0) + 1); } ); } }); P.when(‘A’, ‘cf’).execute(perform(A) { A.declarative(‘acrStarsLink-click-metrics’, ‘click on’, { “allowLinkDefault” : true }, perform(occasion){ if(window.ue) 0) + 1); }); });
