Deep Learning Fundamentals Theory And Applications

Download Deep Learning Fundamentals Theory And Applications full books in PDF, epub, and Kindle. Read online free Deep Learning Fundamentals Theory And Applications ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Deep Learning

Deep Learning
Author :
Publisher :
Total Pages :
Release :
ISBN-10 : 3030060748
ISBN-13 : 9783030060749
Rating : 4/5 (749 Downloads)

Book Synopsis Deep Learning by : Kaizhu Huang

Download or read book Deep Learning written by Kaizhu Huang and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this edited volume is to provide a comprehensive overview on the fundamentals of deep learning, introduce the widely-used learning architectures and algorithms, present its latest theoretical progress, discuss the most popular deep learning platforms and data sets, and describe how many deep learning methodologies have brought great breakthroughs in various applications of text, image, video, speech and audio processing. Deep learning (DL) has been widely considered as the next generation of machine learning methodology. DL attracts much attention and also achieves great success in pattern recognition, computer vision, data mining, and knowledge discovery due to its great capability in learning high-level abstract features from vast amount of data. This new book will not only attempt to provide a general roadmap or guidance to the current deep learning methodologies, but also present the challenges and envision new perspectives which may lead to further breakthroughs in this field. This book will serve as a useful reference for senior (undergraduate or graduate) students in computer science, statistics, electrical engineering, as well as others interested in studying or exploring the potential of exploiting deep learning algorithms. It will also be of special interest to researchers in the area of AI, pattern recognition, machine learning and related areas, alongside engineers interested in applying deep learning models in existing or new practical applications.


Deep Learning Related Books

Deep Learning
Language: en
Pages:
Authors: Kaizhu Huang
Categories: COMPUTERS
Type: BOOK - Published: 2019 - Publisher:

DOWNLOAD EBOOK

The purpose of this edited volume is to provide a comprehensive overview on the fundamentals of deep learning, introduce the widely-used learning architectures
Deep Learning: Fundamentals, Theory and Applications
Language: en
Pages: 163
Authors: Kaizhu Huang
Categories: Medical
Type: BOOK - Published: 2019-02-15 - Publisher: Springer

DOWNLOAD EBOOK

The purpose of this edited volume is to provide a comprehensive overview on the fundamentals of deep learning, introduce the widely-used learning architectures
Fundamentals Of Deep Learning: Theory And Applications
Language: en
Pages: 208
Authors: Dr. Pokkuluri Kiran Sree
Categories: Study Aids
Type: BOOK - Published: 2023-03-29 - Publisher: Academic Guru Publishing House

DOWNLOAD EBOOK

Deep learning, often known as DL, is an approach to machine learning that is increasingly seen as the way of the future. Because of its impressive power of lear
Deep Learning
Language: en
Pages: 801
Authors: Ian Goodfellow
Categories: Computers
Type: BOOK - Published: 2016-11-10 - Publisher: MIT Press

DOWNLOAD EBOOK

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and res
Machine Learning and Data Science
Language: en
Pages: 276
Authors: Prateek Agrawal
Categories: Computers
Type: BOOK - Published: 2022-07-25 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

MACHINE LEARNING AND DATA SCIENCE Written and edited by a team of experts in the field, this collection of papers reflects the most up-to-date and comprehensive