Hands-On Deep Learning Architectures with Python : Create Deep Neural Networks to Solve Computational Problems Using TensorFlow and Keras.

This book explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations to help you understand the concepts and ideas required to build efficient artificial intelligence systems, this book will help you construct deep models using popular f...

Full description

Saved in:
Bibliographic Details
Main Author: Liu, Yuxi (Hayden)
Other Authors: Mehta, Saransh.
Format: eBook
Language: English
Published: Birmingham : Packt Publishing, Limited, 2019.
Subjects:
Python (Computer program language)
Machine learning.
Neural networks (Computer science)
elektronické knihy
electronic books
ISBN: 1788990501
9781788990509
9781788998086
1788998081
Physical Description: 1 online resource (303 pages)

Cover

Table of contents

LEADER 03035cam a2200397Mi 4500
001 kn-on1101040389
003 OCoLC
005 20240717213016.0
006 m o d
007 cr cn|||||||||
008 190518s2019 enk o 000 0 eng d
040 |a EBLCP  |b eng  |e pn  |c EBLCP  |d UKAHL  |d N$T  |d MERUC  |d OCLCF  |d OCLCQ  |d YDX  |d OCLCQ  |d HUA  |d ESU  |d NLW  |d VLB  |d OCLCO  |d OCLCQ  |d OCLCO  |d OCLCL  |d TMA  |d OCLCQ 
020 |a 1788990501 
020 |a 9781788990509  |q (electronic bk.) 
020 |z 9781788998086 
020 |z 1788998081 
035 |a (OCoLC)1101040389  |z (OCoLC)1100427029  |z (OCoLC)1153343095 
100 1 |a Liu, Yuxi (Hayden) 
245 1 0 |a Hands-On Deep Learning Architectures with Python :  |b Create Deep Neural Networks to Solve Computational Problems Using TensorFlow and Keras. 
260 |a Birmingham :  |b Packt Publishing, Limited,  |c 2019. 
300 |a 1 online resource (303 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a This book explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations to help you understand the concepts and ideas required to build efficient artificial intelligence systems, this book will help you construct deep models using popular frameworks and datasets. 
505 0 |a Hands-on deep learning architectures with python: create deep neural networks to solve computational problems using TensorFlow and Keras -- Contributors -- Table of Contents -- Preface -- Section 1: The Elements of Deep Learning -- Chapter 1: Getting Started with Deep Learning -- Chapter 2: Deep Feedforward Networks -- Chapter 3: Restricted Boltzmann Machines and Autoencoders -- Section 2: Convolutional Neural Networks -- Chapter 4: CNN Architecture -- Chapter 5: Mobile Neural Networks and CNNs -- Section 3: Sequence Modeling -- Chapter 6: Recurrent Neural Networks -- Section 4: Generative Adversarial Networks (GANs) -- Chapter 7: Generative Adversarial Networks -- Section 5: The Future of Deep Learning and Advanced Artificial Intelligence -- Chapter 8: New Trends of Deep Learning -- Other Books You May Enjoy -- Index. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Python (Computer program language) 
650 0 |a Machine learning. 
650 0 |a Neural networks (Computer science) 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Mehta, Saransh. 
776 0 8 |i Print version:  |a Liu, Yuxi (Hayden).  |t Hands-On Deep Learning Architectures with Python : Create Deep Neural Networks to Solve Computational Problems Using TensorFlow and Keras.  |d Birmingham : Packt Publishing, Limited, ©2019  |z 9781788998086 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpHODLAP12/hands-on-deep?kpromoter=marc  |y Full text 

Similar Items