The Applied TensorFlow and Keras Workshop

This is the repository for The Applied TensorFlow and Keras Workshop, published by Packt. It contains all the supporting project files necessary to work through the course from start to finish.

Requirements and Setup

To get started with the project files, you'll need to:

1. Install Jupyter on Windows, Mac, Linux
2. Install Anaconda on Windows, Mac, Linux

About The Applied TensorFlow and Keras Workshop

The Applied TensorFlow and Keras Workshop provides you with a blueprint to build an application that generates predictions using a deep learning model. You’ll learn to apply techniques to improve the model: add more data and features, change its architecture, or create a new model by changing the core components to meet your own requirements.

What you will learn

• Familiarize yourself with the components of a neural network
• Understand the different types of problems that can be solved using neural networks
• Explore different ways to select the right architecture for your model
• Make predictions with a trained model using TensorBoard
• Discover the components of Keras and ways to leverage its features in your model
• Explore how you can deal with new data by learning ways to retrain your model

Related Workshops

If you've found this repository useful, you might want to check out some of our other workshop titles:

• The Applied AI and Natural Language Processing Workshop
• The Deep Learning Workshop
• The Deep Learning with Keras Workshop