Deep Learning

Author	: Li Deng
Publisher	:
Total Pages	: 212
Release	: 2014
ISBN-10	: 1601988141
ISBN-13	: 9781601988140
Rating	: 4/5 (140 Downloads)

DOWNLOAD EBOOK

Book Synopsis Deep Learning by : Li Deng

Download or read book Deep Learning written by Li Deng and published by . This book was released on 2014 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks

Deep Learning Related Books

Language: en
Pages: 212

Deep Learning

Authors: Li Deng

Categories: Machine learning

Type: BOOK - Published: 2014 - Publisher:

DOWNLOAD EBOOK

Provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks

Language: en
Pages: 235

Deep Learning on Windows

Authors: Thimira Amaratunga

Categories: Computers

Type: BOOK - Published: 2021-02-25 - Publisher: Apress

DOWNLOAD EBOOK

Build deep learning and computer vision systems using Python, TensorFlow, Keras, OpenCV, and more, right within the familiar environment of Microsoft Windows. T

Language: en
Pages: 624

Deep Learning for Coders with fastai and PyTorch

Authors: Jeremy Howard

Categories: Computers

Type: BOOK - Published: 2020-06-29 - Publisher: O'Reilly Media

DOWNLOAD EBOOK

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with

Language: en
Pages: 304

Deep Learning for Computer Vision

Authors: Rajalingappaa Shanmugamani

Categories: Computers

Type: BOOK - Published: 2018-01-23 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks Key Features Train different kinds of deep learning model

Language: en
Pages: 0

Pattern Recognition and Machine Learning

Authors: Christopher M. Bishop

Categories: Computers

Type: BOOK - Published: 2016-08-23 - Publisher: Springer

DOWNLOAD EBOOK

This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approxi