Keras.io is a popular open-source deep learning library that provides a user-friendly interface for building and training neural networks. The website serves as the official documentation and resource hub for Keras, offering comprehensive guides, tutorials, and examples of its functionalities. It provides an overview of Keras' features, such as its compatibility with different backends (TensorFlow, Microsoft Cognitive Toolkit, etc.) and its support for various deep learning techniques like convolutional networks and recurrent networks. With an emphasis on simplicity and ease of use, Keras.io is a valuable platform for beginners and experienced developers looking to implement deep learning models efficiently.

You will get the idea of how Keras makes it easier to try and experiment with new architectures in neural networks. And how Keras empowers new ideas and its implementation in a faster, efficient way.data-flair.trainingYou will discover the characteristics, features, and various other properties of Keras. This article also explains the different neural network layers and the pre-trained models available in Keras.

K e ras is a machine learning API and library built for integration with Python programs. It contains various modules and shortcuts for building and testing your own machine learning models, at virtually any level of intensity.towardsdatascience.comIt can be used for very simple, surface learning tasks, or heavy deep learning tasks where complex analysis is required.

It only supports high-level API running on the top of the backend engine (TensorFlow, Theano, and CNTK). We assure you that you will not find any difficulty in this tutorial.javatpoint.comThe only disadvantage is that Keras has its own pre-configured layers, and if you want to create an abstract layer, it won't let you because it cannot handle low-level APIs.