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 need you to make a simple ios app that can take photo or import from gallery and make a simple server call that'll process the image and return type of flower. The server will use keras for processing the flower and running algorithm over it to find the type of flower. I'll give you trained model in the form of .json and .h5py.

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    Face AntiSpoofing 16 hours left

    Build a face anti spoofing detection model using a given database. The Model should preferably use deep learning architecture to detect photo and video spoofing of faces. The entire project has to be done in Python using keras/tensorflow. No existing github projects allowed. Looking for someone who has worked on this before and has a ready code he/she can share. Need it in next 2 days. Other d...

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