Development of a depth estimation model based on a UNET architecture - connection of Bi-directional Feature Pyramid Network (BIFPN) and EfficientNet.
-
Updated
Oct 30, 2024 - Python
Development of a depth estimation model based on a UNET architecture - connection of Bi-directional Feature Pyramid Network (BIFPN) and EfficientNet.
Python implementation that explores how different parameters impact a single hidden layer of a feed-forward neural network using gradient descent
Add a description, image, and links to the ffnet topic page so that developers can more easily learn about it.
To associate your repository with the ffnet topic, visit your repo's landing page and select "manage topics."