Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Free delivery for purchases over 19 990 Ft

DPD point 990 Ft DPD courier 1 190 Ft GLS point 1 190 Ft Hungarian Post 1 795 Ft Hungarian Post 1 690 Ft Hungarian Post 1 690 Ft FoxPost 1 190 Ft Packeta point 1 190 Ft GLS courier 1 690 Ft

Contact

How to shop

Help

My account

▸ Empty :-(

Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Math for Deep Learning

Name: Math for Deep Learning
Brand: Random House Publishing
SKU: 36537261
Price: 14044 HUF
Availability: InStock
Author: Ronald T. Kneusel
ISBN: 9781718501904

Ronald T. Kneusel

Language

English

Book Paperback

Libristo code: 36537261

Publishers Random House Publishing, December 2021

Math for Deep Learning provides the essential math you need to understand deep learning discussions,... Full description

Libristo code: 36537261

94 b

14 044 Ft

In stock at our supplier Shipping in 3-6 days

Up to 30 days for returns

Customers also purchased

Mathematics for Machine Learning Marc Peter Deisenroth

Paperback

20 754 Ft

Essential Math for Data Science Thomas Nield

Paperback

19 668 Ft

Practical Deep Learning Ron Kneusel

Paperback

16 936 Ft

PRACTICAL DEEP LEARNING E02 KNEUSEL RONALD T

Paperback

19 470 Ft

Math for Programming KNEUSEL RONALD T

Paperback

13 866 Ft

Tcp/ip Guide Charles M Kozierok

Hardback

27 703 Ft

Deep Learning with Python Francois Chollet

Paperback

25 211 Ft

LLM Engineer's Handbook Maxime Labonne

Paperback

22 602 Ft

Deep Learning Ian Goodfellow

Hardback

38 677 Ft

AI Engineering Chip Huyen

Paperback

22 188 Ft

A Game of Thrones George Raymond Richard Martin

Paperback

2 595 Ft

Learning Deep Learning Magnus Ekman

Paperback

26 391 Ft

MACHINE LEARNING & AI BEYOND THE BASICS RASCHKA SEBASTIAN

Paperback

14 044 Ft

Oceanology DK

Hardback

13 866 Ft

How We Learn Stanislas Dehaene

Paperback

4 086 Ft

Quick Start Guide to Large Language Models Sinan Ozdemir

Paperback

18 934 Ft

Modern Full-Stack React Projects Matthias Zronek

Paperback

17 100 Ft

Fundamentals of Data Visualization Claus Wilke

Paperback

23 768 Ft

Statistics Done Wrong Reinhart

Paperback

7 142 Ft

Automate the Boring Stuff Workbook SWEIGART AL

Paperback

11 256 Ft

Learning TensorFlow Tom Hope

Paperback

17 923 Ft

Causal Inference and Discovery in Python Aleksander Molak

Paperback

20 410 Ft

Modern Operating Systems, Global Edition Andrew Tanenbaum

Paperback

37 690 Ft

Bayesian Statistics The Fun Way Will Kurt

Paperback

11 214 Ft

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.