Articles by Yoshiyuki Kobayashi

Recently, the use of deep learning is accelerating faster than ever. We have been providing deep learning IDE called Neural Network Console that makes it easy for anyone to utilize deep learning since 2017. And we have also been providing videos (Japanese) on YouTube that explains the basics of deep learning and how to use the Neural Network Console for those who want to learn deep learning quickly since 2018. Today, we have translated the basic contents of these videos…

We have updated Neural Network Console Windows today. This post will introduce the major updates. ・Direct compatibility for Wav files ・Refinements for more convenient trial-and-error ・New plugins, layers, solvers   1. Direct compatibility for Wav files Previously, you had to convert wav files to csv files to make it compatible, but now you can treat it in the same way as image files and load it simply by adding a cell for the wav files in your dataset csv file….

We have updated Neural Network Console Windows. In this post, we will describe the following major updates. ・Training with Neural Network Console Cloud’s computational resources ・Export to TensorFlow format (.pb) (beta) ・Addition of LIME, Inference plugins   1. Training with Neural Network Console Cloud’s computational resources Before we execute training We can now select Neural Network Console Cloud’s training resources from the menu （※1）. By executing training with cloud version’s computational resources, the project and the dataset are automatically uploaded…

We have updated Neural Network Console Windows today. We would like to introduce new functionalities and their usages in this post. ・Error (misclassification) analysis function, Sorting inference results ・Output html report ・other functionalities / improvements   1. Error (misclassification) analysis function & sorting inference results Users can display the misclassified data from the confusion matrix of the inference results of binary or multi-way classification problems. To do so, double-click the corresponding cell on confusion matrix, or select List from the…

We have updated Neural Network Console Windows. We would like to introduce new functionalities and their usages in this post. ・Support Exporting to ONNX and NNB files ・Support Importing from ONNX and NNP files ・Support Mixed-Precision Training ・Other functionalities and improvements   1. Support Exporting to ONNX and NNB files Cloud version has already been able to export to and download as ONNX, NNP, NNB files, and now Windows version is also able to export to these formats. Setting export…

We added a new tutorial “Using original loss functions” to the document.   Tutorial. Using original loss functions   Neural Network Console provides basic loss functions such as SquaredError, BinaryCrossEntropy, and CategoricalCrossEntropy, as layers. However, depending on the problem, there are many cases in which you need to optimize using original loss functions. This tutorial explains how to define your own loss functions that are not available in Neural Network Console and use them in training. We will continue to…

We released Neural Network Console – Windows Version 1.20. In version 1.20 of the Neural Network Console Windows version, many functions were added in response to the feedback received from the users. This blog explains the following new features that were added in version 1.20 of the Neural Network Console Windows version and how to use them. * Unit function * Quantize experiment function * pptx report export function (beta) * Other functions and improvements   1. Unit function The…

We added a new tutorial “Network that uses several types of input data” to the document.   Tutorial. Network that uses several types of input data   This tutorial describes how to handle neural networks that use several types of data as inputs. This method, for example, can be used to perform classification based on multiple images or based on image and vector inputs. We will continue to add tutorials to this website. Follow the following Twitter account and check…

We added a new tutorial “Two methods of using neural networks trained on Neural Network Console using Neural Network Libraries” to the document.   Tutorial. Two methods of using neural networks trained on Neural Network Console using Neural Network Libraries   Neural networks that have been trained on Neural Network Console can be executed only using the open source Neural Network Libraries (without using Neural Network Console). This tutorial explains two methods of executing inference on neural networks that have…

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