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Tutorial. Profiling the training processing time

Thursday, April 12, 2018

Posted by Yoshiyuki Kobayashi

We added a new tutorial “Profiling the training processing time” to the document.   Tutorial. Profiling the training processing time   This tutorial describes the profiling function, which measures in detail the processing time (wall clock time) needed to perform training and classification on neural networks that have been designed.   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 will introduce Neural Network Libraries/Console in GTC 2018

Thursday, March 15, 2018

Posted by hasegawa

We will introduce Neural Network Libraries/Console in the session within GTC 2018 on March 28, 2018 in Silicon Valley. S8912 – Sony’s Deep Learning Software. Neural Network Libraries/Console https://2018gputechconf.smarteventscloud.com/connect/sessionDetail.ww?SESSION_ID=183538 Please come visit Sony’s session!

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Neural Network Libraries/Console will be exhibited at Sony’s booth at AAAI 2018

Wednesday, January 10, 2018

Posted by Yoshiyuki Kobayashi

Neural Network Libraries/Console will be exhibited at Sony’s booth of international conference AAAI 2018, to be held from 2/2 to 7, 2018 in New Orleans. AAAI-18: Thirty-Second AAAI Conference on Artificial Intelligence The exhibition is scheduled to be held from February 4th to 6th for 3 days. It will be held in foyer of Hilton New Orleans Riverside. In addition, a private session of Neural Network Libraries/Console will be held in the hotel too. Please come to Sony’s booth when…

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Tutorial. Analyzing partial output of trained neural networks

Tuesday, December 26, 2017

Posted by Yoshiyuki Kobayashi

We added a new tutorial “Analyzing partial output of trained neural networks” to the document.   Tutorial. Analyzing partial output of trained neural networks   This tutorial explains how to view what kind of data is being output in the middle of a trained neural network.   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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Tutorial. Using vectors or matrices as input to the neural network

Wednesday, December 06, 2017

Posted by Yoshiyuki Kobayashi

We added a new tutorial “Using vectors or matrices as input to the neural network” to the document.   Tutorial. Using vectors or matrices as input to the neural network   In addition to images, Neural Network Console also supports vector and matrix inputs. This tutorial explains how to input vector and matrix data.   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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Tutorial. Estimating continuous values based on input image

Monday, December 04, 2017

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

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

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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【Upcoming deadline】We are looking for research on deep learning at research grant system ‘Leave a Nest Research Funding’

Friday, September 29, 2017

Posted by Namiko Okabe

The ‘Leave a Nest Research Funding Deep learning award’ that we are looking for will close soon. ■Application deadline:24:00 September 30th, 2017 We are looking for all kinds of research topics related to deep learning. We are waiting for researchers’ application. For details, please refer to the following site. https://r.lne.st/2017/08/18/38th-sony/ (Content only in Japanese)

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We today release “Neural Network Console.”

Thursday, August 17, 2017

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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