Keras is a Python library for deep learning. Deep learning is a sub-branch of artificial intelligence that focuses on solving complex computations by emulating the working process of a human brain. Neural networks, computational graphs composed of nodes representing multiple operators for breaking down the tasks into smaller parts for faster computation, are used for solving many of these problems. However, they are difficult to implement, and using the Keras library makes this task much easier. This Keras guide will cover this and more.
Keras is highly recommended for beginners due to its minimalistic and modular approach. It is easy to learn, and it provides quick and efficient methods for creating and evaluating a wide range of deep learning models.
In this free-to-download Keras guide, we walk you through some core aspects of Keras, including a general overview, jobs that use Keras, key terminology, and algorithms that you need to get started.
