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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    Object Detection using YOLOv3 in Tensorflow 2 -- 2 6 дней(-я) left
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    Someone with experience with Tensorflow 2 & [войдите, чтобы посмотреть URL] to implement an object detection model using the specified flow Reference Implementation: [войдите, чтобы посмотреть URL] Requirements: - Use Google Colab - Download Pascal data from: [войдите, чтобы посмотреть URL] - Use [войдите, чтобы посмотреть URL] to load data and feed to model - Build the model using the refe...

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    Deep Learning 4 дней(-я) left

    Neural Network coding using Keras and tensor flow

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    Apps that can detect human and calculate it from High resolution satellite image Deliverables 1. Front end for the web app 2. Backend system for the web app 3. login system for the admin to be able to train the system 4. Admin display for the person who is going to further train the system. 5. Webapp features for further training a system 6. Displaying the results of the current 7. Core Algorithm...

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    Топ-статьи сообщества Keras