Class Activation Map (CAM and Grad-CAM) Analysis of fine-tuned CNNs with transfer learning for Pokemon classification task to understand the features learned by deep CNN
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Updated
Mar 30, 2023 - Python
Class Activation Map (CAM and Grad-CAM) Analysis of fine-tuned CNNs with transfer learning for Pokemon classification task to understand the features learned by deep CNN
Generates class activation maps for CNN's with Global Average Pooling Layer Keras
Simple C-ITS message verification based on ASN definitions.
Python package for utilities with cam designs
Gradient-weighted Class Activation Mapping
[CNC G CODE] This librairy interprets G Code (FANUC) to give you a time estimation of machinning time and detailed data optimised for spreadsheet analysis.
Codes for segmenting and clustering of relocation time series data to generate StaMEs and CAMs, coding of raw CAMs with StaMEs as bases, CAM rectification, and comparison of coding schemes, as performed in https://doi.org/10.1101/2024.08.02.606194.
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