Keras&source=&contentType=

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 complex neural networks. Keras serves as a high-level API that can run on top of popular deep learning frameworks like TensorFlow, Theano, and CNTK. Its modular and composable architecture allows users to easily experiment with different model configurations, making it an excellent choice for both beginners and experienced practitioners. With features like fast prototyping and well-defined abstractions, Keras democratizes access to deep learning technology, enabling rapid development and deployment of machine learning applications.

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…

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…

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…

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…

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…

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…

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…...

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…

Deep Learning with Keras Cheat Sheet (2021), Python for Data Science

Towards Data Science

Keras is a powerful and easy-to-use deep learning library for TensorFlow that provides high-level neural network APIs to develop and evaluate deep learning models. The code below demonstrates 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…

Keras for Beginners: Building Your First Neural Network

Towards Data Science

Keras is a simple-to-use but powerful deep learning library for Python. In this post, we’ll see how easy it is to build a feedforward neural network and train it to solve a real problem with Keras…

Are you using the “Scikit-learn wrapper” in your Keras Deep Learning model?

Towards Data Science

Keras is one of the most popular go-to Python libraries/APIs for beginners and professionals in deep learning. Although it started as a stand-alone project by François Chollet, it has been integrated…...