Keras

Keras is an open-source, high-level neural networks API designed to simplify the process of building and training deep learning models. It operates on top of popular frameworks like TensorFlow, Theano, and CNTK, providing a user-friendly interface that allows developers to create complex neural networks with ease. Keras is particularly known for its modularity, enabling users to stack layers and customize models efficiently. Its design principles focus on rapid experimentation and accessibility, making it an ideal choice for both beginners and experienced practitioners in the field of machine learning and artificial intelligence.

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…

keras

Codecademy

Keras is a high-level library used with TensorFlow in Python. It is used to create deep learning and neural network models. The purpose of this library is to allow developers to build machine learning...

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…

Deep Learning Implementation with Keras and Tensorflow

Analytics Vidhya

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…

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…

R vs Python: Image Classification with Keras

Towards Data Science

A few words about Keras. It is a Python library for artificial neural network ML models which provides high level fronted to various deep learning frameworks with Tensorflow being the default one…