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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    I want a simple Network that use the Convolutional Neural Network able to do create an High Resolution Image from a Low Resolution Image. Requirements: - Image Reading through [เข้าสู่ระบบเพื่อดู URL] library - Model must be use convolutional nn. - Prediction must be use the weights trained from the model builded. - Prediction comparison must be done: between the generated SR image w.r.t to t...

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    I am looking at developing a decision making support tool that will assist companies to choose best software solution among a set of alternatives. This tool -black box - will use an install base database to train the model and will receive as inputs a couple of informations about the company (Exe: Nbre of employees, sector, Turnover, Budget..etc).

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    ML/NLP/RL program for a search engine prototype 15 ชั่วโมง left
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    As title describes. More information will be provided if selected.

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