Keras is an open source neural network library that is written in the Python language. It should be noted that it is capable of running on top of other frameworks/software libraries, such as Microsoft Cognitive Toolkit, TensorFlow, and Theano. For those who don’t know, a neural network is actually a computing system that is meant to imitate the neural activity of animal brains, and is a collection of nodes called “artificial neurons”.

Keras as a neural network helps to optimize a lot of functions, and is used to make working with image and text data infinitely easier. This could help to improve productivity for countless platforms and companies who work with data. It is a tool that caters to the recent technological trend of deep learning, where companies are using AI to optimize their companies and find out more information about their consumer base, such as predictive trends or overall consumer trends.

Keras has over 200,000 users already, and was recently the 10th most cited tool in the 2018 Nuggets 2018 software poll, which indicates that it is rising in popularity and relevancy in the tech sector. It ultimately helps many companies experiment faster with certain processes, as well.

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    Project for Ali E. -- 2 5 days left
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    Hi Ali E., I noticed your profile and would like to offer you my project. We can discuss any details over chat.

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    Player/Enemy detection for CS:GO game using C++ We need an app that can detect Enemy in CS:GO using C++ and control the mouse follow the player. We need a training model to help program Smarter on recognition object. High performance base on game FPS Video similar to project : [login to view URL]

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    I'm looking for a tutor who could teach me on a practical project, I'll give you the project link from github, and you tutor me by rebuilding the same project in keras framework

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    Player/Enemy detection for CS:GO game using C++ We need an app that can detect Enemy in CS:GO using C++ and control the mouse follow the player. We need a training model to help program Smarter on recognition object. High performance base on game FPS Video similar to project : [login to view URL]

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