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Keras

Keras is a high-level open-source software library designed for building and training deep learning models. It provides a user-friendly Python interface that allows developers to create powerful artificial neural networks efficiently. Keras serves as a bridge between the TensorFlow library and Python, enabling users to leverage TensorFlow’s capabilities while simplifying the model-building process 3.

The core components of Keras include layers and models, which facilitate every step of the model-building process. Users can load and preprocess datasets, stack layers to form complete models, and evaluate the output of these models with ease. Keras is particularly known for its focus on enabling fast experimentation, making it an excellent choice for both beginners and experienced practitioners in the field of machine learning 13.

Keras is designed to run on top of various backends, including TensorFlow, CNTK, and Theano, providing flexibility in how users can implement their neural networks. Its modular and extensible nature allows for rapid advancements in deep learning applications 23.

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...

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KERAS : Under the Hood

 Towards Data Science

Getting started with deep learning has become very simple and convenient, all thanks to wonderful duo of keras and tensorflow. You just need to do some imports, define some layers and bingo, you have…...

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Keras: Everything you need to Know

 Python in Plain English

Keras the most powerful Python Library for creating Neural Networks with TensorFlow and custom architecture Continue reading on Python in Plain English

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Getting Familiar with Keras

 Towards Data Science

Neural networks are computing systems loosely inspired by brain connectivity. In short, neural networks make a series of transformations to input, the results of which are used as features during…

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Keras for Beginners

 victorzhou.com

A beginner-friendly series on using Keras to build, train, and evaluate Neural Networks in Python.

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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…

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Classification with Keras

 Analytics Vidhya

Hello again, in my article today I will comment on a simple application with the use of other auxiliary libraries, especially the Keras library that can work on a Tensorflow. As an IDE, I will use…

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9 Ways to Get Help with Deep Learning in Keras

 Machine Learning Mastery

Last Updated on August 19, 2019 Keras is a Python deep learning library that can use the efficient Theano or TensorFlow symbolic math libraries as a backend. Keras is so easy to use that you can devel...

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Multi-Framework AI/ML Development with Keras 3

 Towards Data Science

All hail the return of Keras Photo by Jose Rueda on UnsplashBy Author Keras is Back!! First released in 2015 as a high-level Python library for training ML models, Keras grew in popularity due to its...

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Creating Keras from Scratch

 Analytics Vidhya

I think that too many machine learning engineers get straight into applying machine learning models with libraries such as Keras and Tensorflow without much understanding of what machine learning is…

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Train your Neurons on Artificial Neural Networks [featuring Keras]

 Towards Data Science

Congratulations! You just took your first step towards transcending into a Wizard. Grab a cup of coffee and have a seat. Neural Networks work like magic! It is possible to implement an image…

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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…...

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