Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural network, (Paperback)
UZS 704441
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from AQSh
QTY:
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
Mahsulot tafsilotlari
- 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 format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | June, 2020 |
| Pages | 364 |
| Subgenre | Mathematical & Statistical Software |
| Series title | No Series |
| Edition | 1 |
| Publisher | Packt Publishing |
| Original languages | English |
| Language | English |
| Edu focus | Math & Counting |
| Educational level | General |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single 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 weight | 1.38 lb (630 grams) |
| Bisac subject heading | Computers |
MAHSULOT TAVSIFI
Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural network, (Paperback)
Xaridor savollari va javoblari
-
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. -
Savol:
Buyurtmani joylashtirgandan keyin mahsulotni olish uchun qancha vaqt ketadi?
Javob: Buyurtma qilingan mahsulotni yetkazib berish muddati siz buyurtma bergan narsaga va siz tanlagan yetkazib berish usuliga qarab farq qiladi.. Taxminiy etkazib berish muddati to'lov jarayonida ko'rsatilgan, shuning uchun xarid qilishda ehtiyot bo'ling.
Jay Dawani All Books Editorial Review
Customer Reviews & Ratings
-
5 yulduz
0%
-
4 yulduz
100%
-
3 yulduz
0%
-
2 yulduz
0%
-
1 yulduz
0%
Ushbu mahsulot haqida fikr qoldiring
O‘z fikrlaringizni boshqa mijozlar bilan bo‘lishing
Product Price History
Muhim ma‘lumotlar
- Cheklovlar: xalqaro jo‘natiladigan mahsulotlar uchun quyidagilarga e’tibor bering: ishlab chiqaruvchining kafolati haqiqiy bo‘lmasligi mumkin; ishlab chiqaruvchining xizmat ko‘rsatish imkoniyatlari mavjud bo‘lmasligi mumkin; foydalanish va xavfsizlik bo‘yicha yo‘riqnomalar qabul qiluvchining davlat tilida bo‘lmasligi mumkin; mahsulotlar (va ularga tegishli materiallar) qabul qiluvchining mamlakati standartlari, spetsifikatsiyalari va markirovka talablariga muvofiq ishlab chiqilmasligi mumkin; va mahsulotlar qabul qiluvchining mamlakatida ishlatiladigan kuchlanishga va boshqa elektr standartlariga mos kelmasligi mumkin (adapter yoki konverterdan foydalanish kerak bo‘lishi mumkin). Qabul qiluvchi mahsulotning o‘z mamlakatiga qonuniy ravishda olib kirilishi mumkinligiga ishonch hosil qilishiga javobgardir. Ubuy yoki uning filiallaridan buyurtma berayotganda, qabul qiluvchi mas’ul importchi hisoblanadi va o‘z mamlakatining barcha qonunlari va qoidalariga rioya qilishi shart.
- Ubuy-da e’lon qilinadigan hamma mahsulotlar ham sotilavermaydi, chunki Ubuy global qidiruv tizimidir. Mahsulotlar eksport/savdo qoidalariga bo‘ysunadi.
UZS 704441
Hoziroq buyurtma bering va oling Payshanba, Oktyabr 15
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Ubuy Assurance
Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.
