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面向程序員的AI與機(jī)器學(xué)習(xí)指南(影印版)
開本：
16開
頁數(shù)：
365
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面向程序員的AI與機(jī)器學(xué)習(xí)指南(影印版) 版權(quán)信息
- ISBN：9787564195557
- 條形碼：9787564195557 ; 978-7-5641-9555-7
- 裝幀：一般膠版紙
- 冊數(shù)：暫無
- 重量：暫無
- 所屬分類：>
面向程序員的AI與機(jī)器學(xué)習(xí)指南(影印版) 內(nèi)容簡介
如果你想從程序員轉(zhuǎn)行做人工智能專家，這是一個(gè)理想的起點(diǎn)；贚aurence Moroney很好成功的AI課程，這本介紹性的書提供了一個(gè)動手操作、代碼優(yōu)先的方法來幫助你建立信心，同時(shí)學(xué)習(xí)關(guān)鍵主題。你所需要的只是使用Python及其用于數(shù)據(jù)和數(shù)組處理的經(jīng)驗(yàn)。你將學(xué)習(xí)如何實(shí)現(xiàn)機(jī)器學(xué)習(xí)中很常見的場景，包括計(jì)算機(jī)視覺、自然語言處理(NLP)和針對web、移動、云和嵌入式運(yùn)行時(shí)的序列建模。大多數(shù)關(guān)于機(jī)器學(xué)習(xí)的書都是從大量的高等數(shù)學(xué)開始的。本指南提供了讓您直接使用代碼的實(shí)用經(jīng)驗(yàn)。
面向程序員的AI與機(jī)器學(xué)習(xí)指南(影印版) 目錄
Foreword
Preface
Part I Building Models
1． Introduction to TensorFlow
What Is Machine Learning?
Limitations of Traditional Programming
From Programming to Learning
What Is TensorFlow?
Using TensorFlow
Installing TensorFlow in Python
Using TensorFlow in PyCharm
Using TensorFlow in Google Colab
Getting Started with Machine Learning
Seeing What the Network Learned
Summary
2． Introduction to Computer Vision
Recognizing Clothing Items
The Data： Fashion MNIST
Neurons for Vision
Designing the Neural Network
The Complete Code
Training the Neural Network
Exploring the Model Output
Training for Longer-Discovering Overfitting
Stopping Training
Summary
3． Going Beyond the Basics： Detecting Features in Images
Convolutions
Pooling
Implementing Convolutional Neural Networks
Exploring the Convolutional Network
Building a CNN to Distinguish Between Horses and Humans
The Horses or Humans Dataset
The Keras Image Data Generator
CNN Architecture for Horses or Humans
Adding Validation to the Horses or Humans Dataset
Testing Horse or Human Images
Image Augmentation
Transfer Learning
Multiclass Classification
Dropout Regularization
Summary
……
Part II Using Models
Index
Preface
Part I Building Models
1． Introduction to TensorFlow
What Is Machine Learning?
Limitations of Traditional Programming
From Programming to Learning
What Is TensorFlow?
Using TensorFlow
Installing TensorFlow in Python
Using TensorFlow in PyCharm
Using TensorFlow in Google Colab
Getting Started with Machine Learning
Seeing What the Network Learned
Summary
2． Introduction to Computer Vision
Recognizing Clothing Items
The Data： Fashion MNIST
Neurons for Vision
Designing the Neural Network
The Complete Code
Training the Neural Network
Exploring the Model Output
Training for Longer-Discovering Overfitting
Stopping Training
Summary
3． Going Beyond the Basics： Detecting Features in Images
Convolutions
Pooling
Implementing Convolutional Neural Networks
Exploring the Convolutional Network
Building a CNN to Distinguish Between Horses and Humans
The Horses or Humans Dataset
The Keras Image Data Generator
CNN Architecture for Horses or Humans
Adding Validation to the Horses or Humans Dataset
Testing Horse or Human Images
Image Augmentation
Transfer Learning
Multiclass Classification
Dropout Regularization
Summary
……
Part II Using Models
Index
展開全部
面向程序員的AI與機(jī)器學(xué)習(xí)指南(影印版) 作者簡介
Laurence Moroney，在Google負(fù)責(zé)AI倡導(dǎo)工作，教授軟件開發(fā)人員如何通過機(jī)器學(xué)習(xí)構(gòu)建AI系統(tǒng)。他是TensorFlowYouTube頻道的？，公認(rèn)的全球主題演講者，也是一位多產(chǎn)的作家。
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