MOMENTAN AUSVERKAUFT
Über dieses Produkt
Product Identifiers
PublisherMercury Learning & Information
ISBN-101683924606
ISBN-139781683924609
eBay Product ID (ePID)27038373317
Product Key Features
Number of Pages200 Pages
LanguageEnglish
Publication NameTensorflow 2 Pocket Primer
SubjectProgramming / General, Computer Science, General, Programming Languages / Python
Publication Year2019
TypeTextbook
Subject AreaComputers, Science
AuthorOswald Campesato
SeriesPocket Primer Ser.
FormatTrade Paperback
Dimensions
Item Weight11.9 Oz
Item Length9 in
Item Width6 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2019-941748
Dewey Edition23
Grade FromCollege Graduate Student
IllustratedYes
Grade ToCollege Graduate Student
Dewey Decimal006.3/1
Table Of Content1: Introduction to TensorFlow 2 2: Useful TensorFlow 2 APIs 3: TensorFlow 2 Datasets 4: Linear Regression 5: Working with Classifiers Appendix: TF2, Keras, and Advanced Topics Index On the Companion Files: (available from the publisher for downloading) Source code samples from the text Figures
SynopsisAs part of the best-selling Pocket Primer series, this book is designed to introduce beginners to basic machine learning algorithms using TensorFlow 2. It is intended to be a fast-paced introduction to various "core" features of TensorFlow, with code samples that cover machine learning and TensorFlow basics. A comprehensive appendix contains some Keras-based code samples and the underpinnings of MLPs, CNNs, RNNs, and LSTMs. The material in the chapters illustrates how to solve a variety of tasks after which you can do further reading to deepen your knowledge. Companion files with all of the code samples are available for downloading from the publisher by emailing proof of purchase to info@merclearning.com. Features: Uses Python for code samples Covers TensorFlow 2 APIs and Datasets Includes a comprehensive appendix that covers Keras and advanced topics such as NLPs, MLPs, RNNs, LSTMs Features the companion files with all of the source code examples and figures (download from the publisher), As part of the best-selling Pocket Primer series, this book provides an overview of the major concepts to program using TensorFlow 2. The focus of this book is on basic programming instructions used in machine learning and deep learning. Includes companion files with source code (in Python) and figures. Features: Provides an overview of the ......, As part of the best-selling Pocket Primer series, this book provides an overview of the major concepts to program using TensorFlow 2. The focus of this book is on basic programming instructions used in machine learning and deep learning. Includes companion files with source code (in Python) and figures. Features: Provides an overview of the most important TensorFlow programming techniques used for machine learning, deep learning, linear and logical regression, etc. Covers TensorFlow 2 and previous versions that run with TF2 Includes companion files with source code (in Python) and figures.
LC Classification NumberQ325.5.C368 2020
