Deep Neural Network Analysis System by Visualizing Accumulated Weight Changes

Recently, interest in artificial intelligence has increased due to the development of fields such as ChatGPT and self-driving cars. However, there are still many unknown elements training process intelligence, so that optimizing model requires more time effort than it needs. Therefore, is a need for tool or methodology can analyze weight changes during help out understatnding those changes. In this research, I propose visualization system which helps people understand accumulated The calculates weights each period accumulates stores plot them 3D space. This research will allow us explore different aspect learning process, understanding how get trained providing an indicator on hyperparameters should be changed better performance. These attempts expected considered contribute application models.