Building and Deploying Deep Learning Applications with TensorFlow

Discover how to install TensorFlow and use it to create, train, and deploy a machine learning model.

Introduction

• Welcome
• What you should know
• Using the exercise files

1. Setting Up TensorFlow

• Install TensorFlow on macOS
• Install TensorFlow on Windows

2. TensorFlow Overview

• What is TensorFlow?
• Why is it called TensorFlow?
• Hardware, software, and language requirements
• The train/test/evaluation flow in TensorFlow
• Build a simple model in TensorFlow

3. Creating a TensorFlow Model

• Options for loading data
• Load the data set
• Define the model structure
• Set up the model training loop

4. Training a Model in TensorFlow

• Train
• Log
• Save and load trained models

5. TensorBoard

• Visualize the computational graph
• Visualize training runs
• Add custom visualizations to TensorBoard

6. Using a Trained TensorFlow

• Export models for use in production
• Configure a new Google Cloud account
• Host your model in the cloud with Google Cloud
• Use a model in the cloud

Conclusion

• Next steps