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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    medical(DICOM/NIFTI) image segmentation

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    I want to train a model to detect a specific types of elements these elements like rectangles circules straight lines , sequares but all are hand drawn the follwoing tasks will be handled : 1- image segmentation and data labeling 2- buildings Objects detection model

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    we have an Xvfb server running under a node.js backend server , We want to run tensorflow models on this XVFB Server to receive predictions from preloaded models we need want some one to create a simple solution for us to load models and analyse the xvfb video stream. The expected solution will be high level API that we can load tensorflow models and connect them to our xvfb server by x11vnc or a...

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    deep learning and ML for image segmentation and object detection Need help with several projects for deep learning and machine learning

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    We are looking for a skilled deep learning engineer to do the following computer vision task on pathology slide data (.svs files, n=200). - Data preparation and cleaning - Create a deep learning network for a classification problem, evaluate the model using a training and testing set. Make sure the model is robust. Use google cloud platform - Visualize model architecture and model performance - Vi...

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    Principales artículos de la comunidad Keras