Keras

Keras is an open-source software library designed for building and training deep learning models. It provides a user-friendly Python interface that simplifies the process of creating artificial neural networks. Keras can run on top of various backends, including TensorFlow, Theano, and CNTK, making it versatile for different applications. Its modular and extensible API allows for rapid experimentation, enabling both beginners and experts to develop complex models efficiently. Keras is widely adopted in both industry and academia due to its accessibility and powerful features, making it a leading choice for deep learning projects.

Keras: Everything you need to Know

Python in Plain English

Keras is an open-source software library that offers a Python interface for creating and utilizing powerful artificial neural networks. It serves as a bridge between the TensorFlow library and…

Introduction to Deep Learning with Keras

Towards Data Science

Keras is a high-level neural networks API, capable of running on top of Tensorflow, Theano, and CNTK. It enables fast experimentation through a high level, user-friendly, modular and extensible API…

Building Models with Keras

Towards Data Science

Keras is a high-level API for building neural networks in python. The API supports sequential neural networks, recurrent neural networks, and convolutional neural networks. It also allows for easy…

Why Keras is the Leading Deep Learning API

Towards Data Science

Keras is an open-source, user-friendly deep learning library created by Francois Chollet, a deep learning researcher at Google. The user-friendly design principles behind Keras makes it easy for…

Getting Started with Datasets in Keras

Towards Data Science

Keras is an open-source python library for neural networks. It enables easy implementation and experimentation of a variety of neural network architectures. In addition to providing many of the…

Keras Custom Training Loop

Towards Data Science

Keras is a high level library, among all the other deep learning libraries, and we all love it for that. It abstracts most of the pain that, our not less beloved, Tensorflow brings with itself to…

Deep Learning Implementation with Keras and Tensorflow

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Keras is an open-source software library that provides a Python interface for artificial neural networks. Keras acts as an interface for the TensorFlow library. Keras was developed with a focus on…

Creating a simple Neural Network using Keras for a binary classification task.

Analytics Vidhya

Keras is a very user-friendly Deep learning library that allows for easy and fast prototyping. It offers consistent and simple APIs and minimizes the number of user actions required for common use…

Keras Cheat Sheet: Neural Networks in Python

Becoming Human: Artificial Intelligence Magazine

Keras is an easy-to-use and powerful library for Theano and TensorFlow that provides a high-level neural networks API to develop and evaluate deep learning models. We recently launched one of the…

Introduction to TensorFlow with Keras API

Analytics Vidhya

Keras is a high-level Deep Learning API(Application Programming Interface) that allows us to easily build, train, evaluate, and execute all sorts of neural networks. What is does is abstract away the…...

Deep Learning Primer with Keras

Towards Data Science

Keras is excellent because it allows you to experiment with different neural-nets with great speed! It sits atop other excellent frameworks like TensorFlow, and lends well to the experienced as well…

Keras and R: Predicting Blood Glucose Levels with the Sequential Model

Towards Data Science

With the advent of TensorFlow 2.0, Keras is now the default API for this version. Keras is used to build neural networks for deep learning purposes. As such, Keras is a highly useful tool for…