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 wish to build an app that enables users to rate businesses. Based on their rating input, other users can get suggestions of other businesses from the app based on results made by people who made similar decisions. The app has two distinct parts: * On one side, the collaborative filtering algorithm, requiring expertise in Python and Tensorflow, Keras, PyTorch or similar, and basic cloud deploym...

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    I wish to build an app that enables users to rate businesses. Based on their rating input, other users can get suggestions of other businesses from the app based on results made by people who made similar decisions. The app has two distinct parts: * On one side, the collaborative filtering algorithm, requiring expertise in Python and Tensorflow, Keras, PyTorch or similar, and basic cloud deploym...

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    need information of vott active learning

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    Design and train a convolutional neural network for image classification.

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    So I have a python script that runs veeeeery slowly on my Dell Laptop. It takes hours and hours to run with simple CPU in Pycharm, so I was thinking I should somehow use my GPU to accelerate the script. The problem is, no matter what I try, I simply cannot get the GPU to work. I tried many tutorials ([login to view URL], [login to view URL] , [login to view URL] , [login to view URL] etc) but no...

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    help me setting vott active learning env

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    convert json files format from one version to another

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    Our project is the area of deep learning based on open source AI framework. The application is deployable in cloud and on edge devices. The main programming language used is python with Angular, react.js and HTML5/CSS based user interfaces

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    CNTK Pre-trained Image Models related work u need to load model in vott without errors

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    i need help in loading pretrained models in vott active learning mode

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    LSTM model 1 day left

    I have LSTM model code for tabular data. the model use 1 timestep and I want to adjust it to work with different length of timestep.

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