NVIDIA Feature Map Explorer is a new powerful tool that visualizes 4-dimensional image-based feature map data in a fluid and interactive fashion. It provides users with a rich set of views into feature map data that range from high-level summary to low-level channel slices, as well as detailed statistics information.
The visualization and statistics enable deep learning developers to easily peer into the deep learning processing “black box” to find depth information about what the model is learning, where the model is failing to use resources efficiently, and what is changing as a model is learning during training to better process data handed to it. .
NVIDIA Feature Map Explorer Offers:
- Rich views of feature map data at different levels.
- Detailed statistics information about feature map channels.
- Flexible comparisons of feature map data across batches and epochs.
- Leverages GPU for fast processing of large quantities of feature map data.
View the Demo
Click on the link below the video to watch the new demo (note: you must register for a free GTC Digital account to view the full video).