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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    Urgently looking for an AI specialist, proficient in at least Python, Keras, Tensorflow and Pytorch. For more details, read the attached file.

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    We are looking for a Deep learning developer who has experience in object recognition using yolo with resnet50 backend and keras-retinanet. This person must understand python.

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    Hybrid LSTM with Reinforcement

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    Hi, I'm looking for someone to translate this repository from PyTorch to TensorFlow and make sure it runs and works properly [login to view URL]

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