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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    We intend to start a "early detection of diabetic retinopathy with AI" project consisting in collecting and analysing retinal images from fundus devices. We are looking for specialists/experts in: - Deep learning - Neural networks - Computer vision - Classification - Python - etc.. and an experience in the same domain.

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    I have a yolo Darknet file generated from a custom, fairly small, dataset. I used LabelImg & [login untuk melihat URL] (they offer the ability to export in nearly any format, so this can easily change if need be) to generate it. There are TWO classes in this dataset. In my experimentation, 6000 batches in Google's colab on a tesla p100 took approximately 3 hours. I however have no idea w...

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