Intermediate Feature Map Extraction and Visualization in Convolutional Neural Networks
Capturing intermediate layer outputs provides critical diagnostic visibility into representation quality during model training. This section outlines a systematic approach to intercepting and inspecting activation tensors using PyTorch's hook interface, applied to a symmetric encoder-decoder topology commonly used in signal reconstruction tasks ...
Posted on Sun, 10 May 2026 07:23:25 +0000 by djs1