Overview
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Learn how to install Keras— a popular deep learning framework—and use it to build a simple deep learning model.
Syllabus
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Introduction
- Welcome
- What you should know
- Using the exercise files
- What is Keras?
- TensorFlow and Theano backends
- Using Keras vs. TensorFlow
- Installing Keras with the TensorFlow backend on macOS
- Installing Keras with the TensorFlow backend on Windows
- The train-test-evaluation flow
- Keras Sequential API
- Pre-processing training data
- Define a Keras model using the Sequential API
- Training and evaluating the model
- Making predictions
- Saving and loading models
- Pre-trained models
- Recognize images with ResNet50 model
- Export Keras logs in TensorFlow format
- Visualize the computational graph
- Visualize training progress
- Exporting Google Cloud-compatible models
- Configuring a new Google Cloud account
- Uploading a Keras model to Google Cloud
- Using a model in Google Cloud
- Next steps
