南開科技大學圖書館 |

Language: 繁體中文

說明(常見問題)

南開科技大學

圖書館首頁

編目中圖書申請

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

The TensorFlow Workshop :a hands-on guide to building deep learning models from scratch using real-world datasets /

紀錄類型:	書目-語言資料,印刷品 : 單行本
正題名/作者:	The TensorFlow Workshop :/ Matthew Moocarme, Anthony So and Anthony Maddalone.
其他題名:	a hands-on guide to building deep learning models from scratch using real-world datasets /
作者:	Moocarme, Matthew.
其他作者:	So, Anthony.
出版者:	Birmingham, UK :Packt Publishing,c2021
面頁冊數:	xxii, 554,[5] p. :ill. ;24 cm.
附註:	Includes index.
標題:	Machine learning. -
ISBN:	9781800205253$q(pbk.) :
ISBN:	1800205252$q(pbk.)

The TensorFlow Workshop :a hands-on guide to building deep learning models from scratch using real-world datasets /
Moocarme, Matthew.

The TensorFlow Workshop :a hands-on guide to building deep learning models from scratch using real-world datasets /Matthew Moocarme, Anthony So and Anthony Maddalone. - 1st ed. - Birmingham, UK :Packt Publishing,c2021 - xxii, 554,[5] p. :ill. ;24 cm.

Includes index.

Get started with TensorFlow fundamentals to build and train deep learning models with real-world data, practical exercises, and challenging activities Key Features Understand the fundamentals of tensors, neural networks, and deep learning Discover how to implement and fine-tune deep learning models for real-world datasets Build your experience and confidence with hands-on exercises and activities Book Description Getting to grips with tensors, deep learning, and neural networks can be intimidating and confusing for anyone, no matter their experience level. The breadth of information out there, often written at a very high level and aimed at advanced practitioners, can make getting started even more challenging. If this sounds familiar to you, The TensorFlow Workshop is here to help. Combining clear explanations, realistic examples, and plenty of hands-on practice, it'll quickly get you up and running. You'll start off with the basics - learning how to load data into TensorFlow, perform tensor operations, and utilize common optimizers and activation functions. As you progress, you'll experiment with different TensorFlow development tools, including TensorBoard, TensorFlow Hub, and Google Colab, before moving on to solve regression and classification problems with sequential models. Building on this solid foundation, you'll learn how to tune models and work with different types of neural network, getting hands-on with real-world deep learning applications such as text encoding, temperature forecasting, image augmentation, and audio processing. By the end of this deep learning book, you'll have the skills, knowledge, and confidence to tackle your own ambitious deep learning projects with TensorFlow. What you will learn Get to grips with TensorFlow's mathematical operations Pre-process a wide variety of tabular, sequential, and image data Understand the purpose and usage of different deep learning layers Perform hyperparameter-tuning to prevent overfitting of training data Use pre-trained models to speed up the development of learning models Generate new data based on existing patterns using generative models Who this book is for This TensorFlow book is for anyone who wants to develop their understanding of deep learning and get started building neural networks with TensorFlow. Basic knowledge of Python programming and its libraries, as well as a general understanding of the fundamentals of data science and machine learning, will help you grasp th..

ISBN: 9781800205253$q(pbk.) :NT1191Subjects--Uniform Titles:

TensorFlow
Subjects--Topical Terms:

147118
Machine learning.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

The TensorFlow Workshop :a hands-on guide to building deep learning models from scratch using real-world datasets /
LDR:03130cam a2200181 a 4500 001 1000126532
008 221017s2021 enka g 000 0 eng d
020 $a 9781800205253$q(pbk.) : $c NT1191
020 $a 1800205252$q(pbk.)
035 $a (OCoLC)1290491271
040 $a TOH $b eng $c TOH $d OCLCO $d ORMDA
050 # 4 $a Q325.5
082 0 4 $a 006.31 $2 23
100 1 $a Moocarme, Matthew. $3 1000147784
245 1 4 $a The TensorFlow Workshop : $b a hands-on guide to building deep learning models from scratch using real-world datasets / $c Matthew Moocarme, Anthony So and Anthony Maddalone.
250 $a 1st ed.
260 # $a Birmingham, UK : $b Packt Publishing, $c c2021
300 $a xxii, 554,[5] p. : $b ill. ; $c 24 cm.
500 $a Includes index.
520 # $a Get started with TensorFlow fundamentals to build and train deep learning models with real-world data, practical exercises, and challenging activities Key Features Understand the fundamentals of tensors, neural networks, and deep learning Discover how to implement and fine-tune deep learning models for real-world datasets Build your experience and confidence with hands-on exercises and activities Book Description Getting to grips with tensors, deep learning, and neural networks can be intimidating and confusing for anyone, no matter their experience level. The breadth of information out there, often written at a very high level and aimed at advanced practitioners, can make getting started even more challenging. If this sounds familiar to you, The TensorFlow Workshop is here to help. Combining clear explanations, realistic examples, and plenty of hands-on practice, it'll quickly get you up and running. You'll start off with the basics - learning how to load data into TensorFlow, perform tensor operations, and utilize common optimizers and activation functions. As you progress, you'll experiment with different TensorFlow development tools, including TensorBoard, TensorFlow Hub, and Google Colab, before moving on to solve regression and classification problems with sequential models. Building on this solid foundation, you'll learn how to tune models and work with different types of neural network, getting hands-on with real-world deep learning applications such as text encoding, temperature forecasting, image augmentation, and audio processing. By the end of this deep learning book, you'll have the skills, knowledge, and confidence to tackle your own ambitious deep learning projects with TensorFlow. What you will learn Get to grips with TensorFlow's mathematical operations Pre-process a wide variety of tabular, sequential, and image data Understand the purpose and usage of different deep learning layers Perform hyperparameter-tuning to prevent overfitting of training data Use pre-trained models to speed up the development of learning models Generate new data based on existing patterns using generative models Who this book is for This TensorFlow book is for anyone who wants to develop their understanding of deep learning and get started building neural networks with TensorFlow. Basic knowledge of Python programming and its libraries, as well as a general understanding of the fundamentals of data science and machine learning, will help you grasp th..
630 0 0 $a TensorFlow $3 1000147788
650 # 0 $a Machine learning. $3 147118
650 # 0 $a Neural networks (Computer science) $3 146937
700 1 # $a So, Anthony. $3 1000147785
700 1 # $a Maddalone, Anthony. $3 1000147786
710 2 # $a O'Reilly for Higher Education (Firm), $e distributor. $3 1000147787
710 2 # $a Safari, an O'Reilly Media Company. $3 1000147780