This is the code repository for Deep Learning with Keras [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
Keras is a high-level neural network library written in Python, and runs on top of either Theano or TensorFlow. It is a minimal, highly modular framework that runs on both CPUs and GPUs, and allows you to put your ideas into action in the shortest possible time. This course will help you get started with the basics of Keras, in a highly practical manner.
- Learn backpropagation
- Install and configure Keras
- Understand callbacks and for customizing the process
- Study deep convolutional neural networks
- Recognize CIFAR-10 images with deep learning
To fully benefit from the coverage included in this course, you will need:
A knowledge of Python is required for this course.
This course has the following software requirements:
Keras 2.x