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Pro deep learning with TensorFlow = ...
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Pattanayak, Santanu.
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Pro deep learning with TensorFlow = a mathematical approach to advanced artificial intelligence in Python /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Pro deep learning with TensorFlow/ by Santanu Pattanayak.
其他題名:
a mathematical approach to advanced artificial intelligence in Python /
作者:
Pattanayak, Santanu.
出版者:
Berkeley, CA :Apress : : 2017.,
面頁冊數:
xxi, 398 p. :ill., digital ;24 cm.
內容註:
Chapter 1: Mathematical Foundations -- Chapter 2: Introduction to Deep Learning Concepts and TensorFlow -- Chapter 3: Convolutional Neural Networks -- Chapter 4: Natural Language Processing Using Recursive Neural Networks -- Chapter 5: Unsupervised Learning with Restricted Boltzmann Machines and Auto Encoders -- Chapter 6: Advanced Neural Networks.
Contained By:
Springer eBooks
標題:
Machine learning. -
電子資源:
http://dx.doi.org/10.1007/978-1-4842-3096-1
ISBN:
9781484230961
Pro deep learning with TensorFlow = a mathematical approach to advanced artificial intelligence in Python /
Pattanayak, Santanu.
Pro deep learning with TensorFlow
a mathematical approach to advanced artificial intelligence in Python /[electronic resource] :by Santanu Pattanayak. - Berkeley, CA :Apress :2017. - xxi, 398 p. :ill., digital ;24 cm.
Chapter 1: Mathematical Foundations -- Chapter 2: Introduction to Deep Learning Concepts and TensorFlow -- Chapter 3: Convolutional Neural Networks -- Chapter 4: Natural Language Processing Using Recursive Neural Networks -- Chapter 5: Unsupervised Learning with Restricted Boltzmann Machines and Auto Encoders -- Chapter 6: Advanced Neural Networks.
Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with TensorFlow provides practical, hands-on expertise so you can learn deep learning from scratch and deploy meaningful deep learning solutions. This book will allow you to get up to speed quickly using TensorFlow and to optimize different deep learning architectures. All of the practical aspects of deep learning that are relevant in any industry are emphasized in this book. You will be able to use the prototypes demonstrated to build new deep learning applications. The code presented in the book is available in the form of iPython notebooks and scripts which allow you to try out examples and extend them in interesting ways. You will be equipped with the mathematical foundation and scientific knowledge to pursue research in this field and give back to the community. What You'll Learn: Understand full stack deep learning using TensorFlow and gain a solid mathematical foundation for deep learning Deploy complex deep learning solutions in production using TensorFlow Carry out research on deep learning and perform experiments using TensorFlow.
ISBN: 9781484230961
Standard No.: 10.1007/978-1-4842-3096-1doiSubjects--Uniform Titles:
TensorFlow (Electronic resource)
Subjects--Topical Terms:
533906
Machine learning.
LC Class. No.: Q325.5
Dewey Class. No.: 006.31
Pro deep learning with TensorFlow = a mathematical approach to advanced artificial intelligence in Python /
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Chapter 1: Mathematical Foundations -- Chapter 2: Introduction to Deep Learning Concepts and TensorFlow -- Chapter 3: Convolutional Neural Networks -- Chapter 4: Natural Language Processing Using Recursive Neural Networks -- Chapter 5: Unsupervised Learning with Restricted Boltzmann Machines and Auto Encoders -- Chapter 6: Advanced Neural Networks.
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Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with TensorFlow provides practical, hands-on expertise so you can learn deep learning from scratch and deploy meaningful deep learning solutions. This book will allow you to get up to speed quickly using TensorFlow and to optimize different deep learning architectures. All of the practical aspects of deep learning that are relevant in any industry are emphasized in this book. You will be able to use the prototypes demonstrated to build new deep learning applications. The code presented in the book is available in the form of iPython notebooks and scripts which allow you to try out examples and extend them in interesting ways. You will be equipped with the mathematical foundation and scientific knowledge to pursue research in this field and give back to the community. What You'll Learn: Understand full stack deep learning using TensorFlow and gain a solid mathematical foundation for deep learning Deploy complex deep learning solutions in production using TensorFlow Carry out research on deep learning and perform experiments using TensorFlow.
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