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.
To get started with the project files, you'll need to:
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.
- 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
If you've found this repository useful, you might want to check out some of our other workshop titles: