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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    The project aim is to model customer lifetime modelling using Recurrent Neural Networks and exploit the difference between it and probabilistic​ models

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    I need a [로그인하시면, URL을 확인하실 수 있습니다.] ***EXPERT*** who also knows a little pytorch or can at least read a pytorch (torch) model. 1) I need a [로그인하시면, URL을 확인하실 수 있습니다.] ***EXPERT*** to read a working and proven pytorch model and re-write it in [로그인하시면, URL을 확인하실 수 있습니다.] ( Not just Keras ) I have [로그인하시면, URL을 확인하실 수 있습니다.] code that is working in eager mode, but it must run in graph mode. You ca...

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