understanding-neural-networks
There are 8 repositories under understanding-neural-networks topic.
somepago/dbViz
The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective (CVPR'22).
IDouble/Deep-Learning-Machine-Learning-AI-TensorFlow-Python
🐍 A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow 🐍
ShinKyuY/Understanding_Black_box_Predictions_via_Influence_Functions_tutorial_MNIST
Tiny Tutorial on https://arxiv.org/abs/1703.04730
pramodkaushik/np_analysis
Adversarial attacks generated for the ACL paper "Did the Model Understand the Question?"
YanickT/Infoflow-paper
Predicting trainability and "look inside" DNNs using entropy
Misery7100/InfluenceCalculations
:tophat: Understanding black-box predictions via influence functions based on TensorFlow 2
Blacksujit/Data-Extraction-and-NLP
This project extracts text from a list of URLs and performs a detailed textual analysis to compute various linguistic and sentiment metrics. The extracted data is saved to text files, and the analysis results are compiled into an Excel file.
jasonwei20/campus-gan
Generating synthetic images of colleges campuses with DCGAN.