Mathématiques pour l'apprentissage profond : ce qu'il faut savoir pour comprendre les réseaux de neurones
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Un livre présentant des traces d'usure apparentes. Sa couverture peut être endommagée, mais elle est globalement intacte. Sa reliure peut être légèrement endommagée, mais elle est globalement intacte. Il est possible que les marges portent des inscriptions ou que des passages aient été soulignés ou surlignés, mais il n'y a aucune page manquante et rien ne compromet la lisibilité ou la compréhension du texte.
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Lieu : Fort Lauderdale, Florida, États-Unis
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Numéro de l'objet eBay :127239657961
Dernière mise à jour : juil. 21, 2025 14:20:22 HAEAfficher toutes les modificationsAfficher toutes les modifications
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Caractéristiques de l'objet
- État
- Release Year
- 2021
- Book Title
- Math for Deep Learning: What You Need to Know to Understand Ne...
- ISBN
- 9781718501904
À propos de ce produit
Product Identifiers
Publisher
No Starch Press, Incorporated
ISBN-10
1718501900
ISBN-13
9781718501904
eBay Product ID (ePID)
27050380222
Product Key Features
Number of Pages
344 Pages
Language
English
Publication Name
Math for Deep Learning : What You Need to Know to Understand Neural Networks
Publication Year
2021
Subject
Neural Networks, General, Calculus
Type
Textbook
Subject Area
Mathematics, Computers, Science
Format
Trade Paperback
Dimensions
Item Height
0.9 in
Item Weight
23.2 Oz
Item Length
9.1 in
Item Width
7 in
Additional Product Features
Intended Audience
Trade
LCCN
2021-939724
Reviews
"What makes Math for Deep Learning a stand-out, is that it focuses on providing a sufficient mathematical foundation for deep learning, rather than attempting to cover all of deep learning, and introduce the needed math along the way. Those eager to master deep learning are sure to benefit from this foundation-before-house approach." -Ed Scott, Ph.D., Solutions Architect & IT Enthusiast, "An excellent resource for anyone looking to gain a solid foundation in the mathematics underlying deep learning algorithms. The book is accessible, well-organized, and provides clear explanations and practical examples of key mathematical concepts. I highly recommend it to anyone interested in this field." --Daniel Gutierrez, insideBIGDATA "Ronald T. Kneusel has written a handy and compact guide to the mathematics of deep learning. It will be a well-worn reference for equations and algorithms for the student, scientist, and practitioner of neural networks and machine learning. Complete with equations, figures and even sample code in Python, this book is a wonderful mathematical introduction for the reader." --David S. Mazel, Senior Engineer, Regulus-Group "What makes Math for Deep Learning a stand-out, is that it focuses on providing a sufficient mathematical foundation for deep learning, rather than attempting to cover all of deep learning, and introduce the needed math along the way. Those eager to master deep learning are sure to benefit from this foundation-before-house approach." --Ed Scott, Ph.D., Solutions Architect & IT Enthusiast
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.310151
Table Of Content
Introduction Chapter 1: Setting the Stage Chapter 2: Probability Chapter 3: More Probability Chapter 4: Statistics Chapter 5: Linear Algebra Chapter 6: More Linear Algebra Chapter 7: Differential Calculus Chapter 8: Matrix Calculus Chapter 9: Data Flow in Neural Networks Chapter 10: Backpropagation Chapter 11: Gradient Descent Appendix: Going Further
Synopsis
Math for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the deep learning toolkits. With Math for Deep Learning , you'll learn the essential mathematics used by and as a background for deep learning. You'll work through Python examples to learn key deep learning related topics in probability, statistics, linear algebra, differential calculus, and matrix calculus as well as how to implement data flow in a neural network, backpropagation, and gradient descent. You'll also use Python to work through the mathematics that underlies those algorithms and even build a fully-functional neural network. In addition you'll find coverage of gradient descent including variations commonly used by the deep learning community: SGD, Adam, RMSprop, and Adagrad/Adadelta., To truly understand the power of deep learning, you need to grasp the mathematical concepts that make it tick. Math for Deep Learning will give you a working knowledge of probability, statistics, linear algebra, and differential calculus-the essential math subfields required to practice deep learning successfully. Each subfield is explained with Python code and hands-on, real-world examples that bridge the gap between pure mathematics and its applications in deep learning. The book begins with fundamentals such as Bayes' theorem before progressing to more advanced concepts like training neural networks using vectors, matrices, and derivatives of functions. You'll then put all this math to use as you explore and implement backpropagation and gradient descent- the foundational algorithms that have enabled the Al revolution. You'll learn how to: Use statistics to understand datasets and evaluate models, Apply the rules of probability, Manipulate vectors and matrices to move data through a neural network, Use linear algebra to implement principal component analysis and singular value decomposition, Implement gradient-based optimization techniques like RMSprop, Adagrad, and Adadelta, The core math concepts presented in Math for Deep Learning will give you the foundation you need to unlock the potential of deep learning in your own applications. Book jacket., With Math for Deep Learning, you'll learn the essential mathematics used by and as a background for deep learning. You'll work through Python examples to learn key deep learning related topics in probability, statistics, linear algebra, differential calculus, and matrix calculus as well as how to implement data flow in a neural network, backpropagation, and gradient descent. You'll also use Python to work through the mathematics that underlies those algorithms and even build a fully-functional neural network. In addition you'll find coverage of gradient descent including variations commonly used by the deep learning community: SGD, Adam, RMSprop, and Adagrad/Adadelta.
LC Classification Number
Q325.5
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À propos de ce vendeur
Goodwill Industries South Florida
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- s***e (1227)- Évaluation laissée par l'acheteur.Dernier moisAchat vérifiéFast shipping! Excellent communication! Item as described. Was surprised that the book has no highlighted pages or underlined pages. A+ Reseller! Will buy again!
- x***x (31)- Évaluation laissée par l'acheteur.Six derniers moisAchat vérifiéThe book matched the description. It arrived earlier than expected.The price was very good because I checked other sellers before purchasing and they price was more expensive. I already had the second book but, needed the first one. It took the seller a few days to send the tracking number after I requested it.I appreciate prompt responses to my purchases. The quality is good and the condition of the book is not to bad it is better than expected.A Court of Thorns and Roses (A Court of Thorns and Roses, 1) (#127045360415)
- y***0 (354)- Évaluation laissée par l'acheteur.Dernière annéeAchat vérifiéA++++ Seller they gave me a great price and shipped it immediately and communicated friendly. Shipping took 2 days and it was here. It was packaged thoughtfully. The book is quality, brand new. It looks just like the picture. It's a hardcover and I can't believe i got it for that price!! I definitely recommend this seller if you want quality books at a great price! Thank you, you have my business for life.Crystal Healing for Women: Gift Edition: A Modern Guide to the Power of Crys... (#375245511952)
- u***u (3535)- Évaluation laissée par l'acheteur.Six derniers moisAchat vérifiéI only received disc 2 on initial delivery. Missing disc 1. Seller quickly responded to my email and after a few email exchanges we were able to locate disc 1 still in sellers inventory. Seller quickly sent it out to complete my order. Terrific customer service. I can definitely recommend this seller to all eBay buyers!
Évaluations comme vendeur (191 234)
Cet objet (1)
Tous les objets (191 234)
- s***e (1227)- Évaluation laissée par l'acheteur.Dernier moisAchat vérifiéFast shipping! Excellent communication! Item as described. Was surprised that the book has no highlighted pages or underlined pages. A+ Reseller! Will buy again!
- x***x (31)- Évaluation laissée par l'acheteur.Six derniers moisAchat vérifiéThe book matched the description. It arrived earlier than expected.The price was very good because I checked other sellers before purchasing and they price was more expensive. I already had the second book but, needed the first one. It took the seller a few days to send the tracking number after I requested it.I appreciate prompt responses to my purchases. The quality is good and the condition of the book is not to bad it is better than expected.A Court of Thorns and Roses (A Court of Thorns and Roses, 1) (#127045360415)
- y***0 (354)- Évaluation laissée par l'acheteur.Dernière annéeAchat vérifiéA++++ Seller they gave me a great price and shipped it immediately and communicated friendly. Shipping took 2 days and it was here. It was packaged thoughtfully. The book is quality, brand new. It looks just like the picture. It's a hardcover and I can't believe i got it for that price!! I definitely recommend this seller if you want quality books at a great price! Thank you, you have my business for life.Crystal Healing for Women: Gift Edition: A Modern Guide to the Power of Crys... (#375245511952)
- u***u (3535)- Évaluation laissée par l'acheteur.Six derniers moisAchat vérifiéI only received disc 2 on initial delivery. Missing disc 1. Seller quickly responded to my email and after a few email exchanges we were able to locate disc 1 still in sellers inventory. Seller quickly sent it out to complete my order. Terrific customer service. I can definitely recommend this seller to all eBay buyers!