Practical AI on the Google Cloud Platform: Learn How to Use the Latest AI Cloud Services on the Google Cloud Platform 9781492075806
Book Description AI is complicated, but cloud providers have stepped in to make it easier, offering free (or affordable)
2,808 568 4MB
English Year 2020
Table of contents :
Table of Contents
Preface
Who Should Read this Book
Why I Wrote this Book
Navigating this Book
A Note on the Google AI Platform
Things You Need for this Book
Conventrions Used in this Book
Using Code Examples
O’Reilly Online Learning
How to Contact Us
Acknowledgments
1. Data Science and Deep Learning
What is Data Science?
Classification and Regression
Regression
Goodness of Fit
Classification with Logistic Regression
Multi-variant Regression and Classification
Data Discovery and Preparation
Preparing Data
Bad Data
Training, Test and Validation Data
Good Data
Preparing Data
Questioning Your Data
The Basics of Deep Learning
The Perceptron Game
Understanding How Networks Learn
Backpropagation
Optimization and Gradient Descent
Vanishing or Exploding Gradients
SGD and Batching Samples
Batch Normalization and Regularization
Activation Functions
Loss Functions
Building a Deep Learner
Overfitting and Underfitting
Network Capacity
Conclusion
2. AI on the Google Cloud Platform
AI Services on GCP
Google Colab Notebooks
AutoML Tables
The Cloud Shell
Managing Cloud Data
Conclusion
![Practical AI on the Google Cloud Platform: Utilizing Google's State-of-the-Art AI Cloud Services [1 ed.]
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