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Keras

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4.6
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Senthil N.
09/09/2022
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Keras - Open Source Neural Network Platform

Keras is the best platform that runs in many venues. Like TensorFlow, Microsoft Cognitive Services etc...
Shubham C.
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Shubham C.
Decision Analytics Associate at ZS Associate
09/01/2022
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Makes deep learning easy

Keras makes deep learning easy . Its easy to use and every code is thoroughly explained in the website
Subham S.
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Subham S.
Data Scientist at Fractal Analytics || Data Science Mentor at Expertrons || Affiliate Marketer
08/18/2022
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User-friendly and effective high-level neural-network API

There are a lot of reasons to like Keras: 1. This open-source deep-learning library is designed to provide fast experimentation with deep neural networks. 2. Keras provides the flexibility to run on top of CNTK, TensorFlow, and Theano. 3. It is focused on being modular, user-friendly, readable, and extensible. 4. Keras provides the power to build deep neural networks using fewer lines of code, and this amazes me the most. 5. Since Keras was adopted and integrated into TensorFlow in mid-2017, we can leverage its power by deploying trained models to production thanks to the TensorFlow Serving framework. 6. Keras has excellent access to reusable code and tutorials, which makes it extremely suitable even for beginners. 7. Since Keras runs on top of TensorFlow, it can be equipped with single or multiple GPUs for faster computations.

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What is Keras?

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, streamlining the process of building and training deep learning models with its high-level, user-friendly APIs. Designed to enable fast experimentation with deep neural networks, it focuses on being minimal, modular, and extensible. The website https://keras.io serves as a comprehensive resource for developers, offering detailed documentation, tutorials, and a community forum to help both beginners and experienced users in crafting state-of-the-art deep learning models efficiently.

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Year Founded
2016
Website
keras.io