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Keras

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4.6
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2016
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Keras Reviews

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Sudarshan P.
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Sudarshan P.
Researcher | AI | Computer Vision | Robotics | in South Korea;
01/16/2021
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Incentivized Review

Keras makes it easier and quicker to write deep learning models

I like the way keras helps to write complex models easily with few lines of code, and the implementations of different network architecture make it so convenient to work.
HB
Honker B.
01/14/2021
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Review source: G2 invite
Incentivized Review

It has allowed me to create the necessary code for my neural network applications very easily

Keras turns out to be a fairly complete project to achieve neural networks in a fairly simple way, the ease with which it can be executed and its code turns out to be quite impressive, especially because despite being a specialized use program , a person with basic knowledge in the area of ​​programming may be perfectly capable of making a neural network without so many complications, the simplicity of its framework is something that is quite impressive, especially because it allows me to do everything in a much more practical way and efficient and without the existence of so many complications.
Verified User in E-Learning
UE
Verified User in E-Learning
08/11/2020
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Incentivized Review

I am using Keras for my deep learning projects.

It is user friendly and easy to learn. It runs on TensorFlow and TensorFlow is the most popular software library for deep learning these days.

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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