We have updated the Neural Network Console Windows today. This post will introduce the major updates. ・Addition of various pre-processing plugins to facilitate dataset creation ・Addition of export function in TensorFlow 2.0 saved_model format and tflite format (beta) ・Reduce GPU memory required for training and addition of Out-of-Core function to train a large model that exceeds the size of GPU memory ・Addition of SHAP, SHAP(batch) and TracIn plugins ・Others   1. Addition of various pre-processing plugins Various new pre-processing plugins make it easier to create dataset CSV file handled ..read more

We have updated the Neural Network Console Windows today. This post will introduce the major updates. ・ Custom unit function ・ Import as unit function of pre-trained model ・ Addition of XAI related plug-ins   1. Custom unit function A function has been added that allows you to register your own defined unit as a component and add it to the network with a simple operation. The usage of the custom unit function is as follows. 1. Edit the network structure you want to reuse as a unit and save it as a project file. 2. From the right-click menu “Register Custom Unit” in the component list, se ..read more

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 into English and published them on the following YouTube channel, video, and playlists.   Neural Network Console YouTube ..read more

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. In Neural Network Console, Wav file specified in the csv is loaded as the matrix consisting of the number of samples times the nu ..read more

Today, we have updated the Neural Network Console cloud version. Please refer to the Japanese page for details ..read more

We have updated Neural Network Console Windows. With this version upgrade, there is no function added, and the problem at the time of authentication reported by some users has been resolved. Version 1.60 released the other day used WebView in the application at the time of authentication, but this caused some problems, so we changed the operation to launch the Web browser separately and perform authentication. If you can not use because of a problem at the time of authentication, please try the new version. ▼ Download here https://dl.sony.com/app/ We will continue to improve Neural Network Co ..read more

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 to Neural Network Console ..read more

We have updated Neural Network Console Windows today. In this version, plug-ins are now available for post-processing evaluation results. To use the plug-in, right-click the evaluation result of the EVALUATION tab to open a shortcut menu, and click Plugin. The four plug-ins added this time are introduced below.   Grad-CAM Grad-CAM (*1) is one of the popular methods for visualizing input data that greatly affects recognition results. To use Grad-CAM, Run training and evaluation in image recognition project using Convolutional Neural Networks Select the evaluation image displayed on the EVAL ..read more