作者：LaurenceMoroney
页数：365
出版社：东南大学出版社
出版日期：2021
ISBN：9787564195557
电子书格式：pdf/epub/txt
内容简介
如果你想从程序员转行做人工智能专家，这是一个理想的起点。基于Laurence Moroney很好成功的AI课程，这本介绍性的书提供了一个动手操作、代码优先的方法来帮助你建立信心，同时学习关键主题。你所需要的只是使用Python及其用于数据和数组处理的经验。你将学习如何实现机器学习中很常见的场景，包括计算机视觉、自然语言处理(NLP)和针对web、移动、云和嵌入式运行时的序列建模。大多数关于机器学习的书都是从大量的高等数学开始的。本指南提供了让您直接使用代码的实用经验。
作者简介
Laurence Moroney，在Google负责AI倡导工作，教授软件开发人员如何通过机器学习构建AI系统。他是TensorFlowYouTube频道的常客，公认的全球主题演讲者，也是一位多产的作家。
目录
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
