Articles by Yoshiyuki Kobayashi

Tutorial. Estimating continuous values based on input image

Monday, December 04, 2017

News

Posted by Yoshiyuki Kobayashi

We added a new tutorial “Estimating continuous values based on input image” to the document.   Tutorial. Estimating continuous values based on input image   This tutorial explains the training method of a neural network that calculates some continuous values based on input images.   We will continue to add tutorials to this website. Follow the following Twitter account and check the latest information about Neural Network Console. https://twitter.com/NNC_NNL

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We released Neural Network Console – Windows Version 1.10

Wednesday, November 15, 2017

News

Posted by Yoshiyuki Kobayashi

We today released Neural Network Console – Windows Version 1.10. In this version, we made many minor improvements based on opinions and requests from users. Please use more sophisticated version of Neural Network Console. https://dl.sony.com/app/

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We today released “Neural Network Console – Cloud” open beta

Friday, November 10, 2017

News

Posted by Yoshiyuki Kobayashi

We today released the “Neural Network Console – Cloud” open beta version for free. That is the integrated development tool that realizes efficient deep learning application technology development. One feature of the ”Neural Network Console – Windows” released in August this year, was easy to use just by installing it. Today, we provide a cloud version. It is more easily to use comparing with Windows version, becuase all you need is just create an account. The cloud version runs on…

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We today release “Neural Network Console.”

Thursday, August 17, 2017

News

Posted by Yoshiyuki Kobayashi

We release the “Neural Network Console” for free. That is the integrated development tool for Windows that realizes efficient deep learning application technology development.   This tool has actually been used in deep learning applied technology development in-house since 2015. Various functions are loaded so that developers such as recognition technology can concentrate on essential try and error. It has become a very breakthrough tool that has simplicity while it realizes full-fledged technical development of the product mounting level It…

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