Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural network, (Paperback)
Mahsulot #: 49266543

Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural network, (Paperback)

Mahsulot #: 49266543

UZS 704441

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  • A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architecturesKey Features Understand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networks Learn the mathematical concepts needed to understand how deep learning models function Use deep learning for solving problems related to vision, image, text, and sequence applications Book Description Most programmers and data scientists struggle with mathematics, having either overlooked or forgotten core mathematical concepts. This book uses Python libraries to help you understand the math required to build deep learning (DL) models. You'll begin by learning about core mathematical and modern computational techniques used to design and implement DL algorithms. This book will cover essential topics, such as linear algebra, eigenvalues and eigenvectors, the singular value decomposition concept, and gradient algorithms, to help you understand how to train deep neural networks. Later chapters focus on important neural networks, such as the linear neural network and multilayer perceptrons, with a primary focus on helping you learn how each model works. As you advance, you will delve into the math used for regularization, multi-layered DL, forward propagation, optimization, and backpropagation techniques to understand what it takes to build full-fledged DL models. Finally, you'll explore CNN, recurrent neural network (RNN), and GAN models and their application. By the end of this book, you'll have built a strong foundation in neural networks and DL mathematical concepts, which will help you to confidently research and build custom models in DL. What you will learn Understand the key mathematical concepts for building neural network models Discover core multivariable calculus concepts Improve the performance of deep learning models using optimization techniques Cover optimization algorithms, from basic stochastic gradient descent (SGD) to the advanced Adam optimizer Understand computational graphs and their importance in DL Explore the backpropagation algorithm to reduce output error Cover DL algorithms such as convolutional neural networks (CNNs), sequence models, and generative adversarial networks (GANs) Who this book is for This book is for data scientists, machine learning developers, aspiring deep learning developers, or anyone who wants to understand the foundation of deep learning by learning the math behind it. Working knowledge of the Python programming language and machine learning basics is required.
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateJune, 2020
Pages364
SubgenreMathematical & Statistical Software
Series titleNo Series
Edition1
PublisherPackt Publishing
Original languagesEnglish
LanguageEnglish
Edu focusMath & Counting
Educational levelGeneral
Is collectibleN
Recording time0 min
Retail packagingSingle Piece
Assembled product dimensions (l x w x h)7.50 x 0.75 x 9.25 in (19.1 x 1.9 x 23.5 cm)
Assembled product weight1.38 lb (630 grams)
Bisac subject headingComputers

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Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural network, (Paperback)

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  • Savol: Ubuy'dan Hands-On Mathematics for Deep Learning: Build a onlayn xarid qilish qanday?

    Javob: Ubuy'dan Hands-On Mathematics for Deep Learning: Build a onlayn xarid qilish oson.. Siz shunchaki mahsulotni qidirib topishingiz, tekshirish paytida jo'natish usulini tanlashingiz va uni manzilingizga yetkazib berishingiz kerak.
  • Savol: Hands-On Mathematics for Deep Learning: Build a ichida onlayn xarid qilish mumkinmi?

    Javob: Ha, Ubuy Uzbekistan’da ushbu mahsulot sizga mos narxda xarid qilishingiz mumkin.. Hands-On Mathematics for Deep Learning: Build a mahalliy hududda ishlamaydi, ammo tezkor yetkazib berish xizmatlarimizga ishonishingiz mumkin.
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