My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

斯坦福的cs231n课程的assignments，非常好的课程，在这里也要强推

Understanding crop yield predictions from CNNs as our final project for CS231N

A short hands-on of CNN using Stanford CS231n online material

Deep Visualization Toolbox Github: https://github.com/yosinski/deep-visualization-toolbox Understanding Image Representations by Inverting Them Paper: https://arxiv.org/pdf/1412.0035v1.pdf Learning FRAME Models Using CNN filters Project page: http://www.stat.ucla.edu/~yang.lu/project/deepFrame/main.html Convergent Learning: Do different neural networks learn the same representations? Github: https://github.com/yixuanli/convergent_learning Torch-visbox https://github.com/Aysegul/torch-visbox Plot caffe models online http://ethereon.github.io/netscope/#/editor Grad-CAM: Gradient-weighted Class Activation Mapping https://github.com/ramprs/grad-cam/ Quiver: Interactive Feature Visualization for Keras https://github.com/jakebian/quiver CS231 Stanford notes on Visualization http://cs231n.github.io/understanding-cnn/

🍉 Stanford CS231n Convolutional Neural Networks for Visual Recognition

My personal solutions to the CS231n assignments (Spring 2019). CS231n: "CNN" is a Computer Vision class taught at Stanford.

📚 Comprehensive lecture notes for Stanford CS231n: Deep Learning for Computer Vision (2025 Edition) — CNNs, Transformers, Diffusion Models, Vision-Language Models

本项目结合cs231n的课后作业，使用CNN完成手写字符的识别。

my assignment solutions for Stanford cs231n CNN for visual recognition

CS231n assignment2 of CNN implementation for Visual Recognition

This contains various code I wrote for Stanford CS231n, including SVM, NN, CNN, LSTM, etc

Course project for CS231N - investigating interpretability and visualization of CNNs on ADNI dataset.

This is a github repository is a record for the work me, Olly(Ziqi) Guo, and my partner(Yibo Kong) have done in the CS639 in University of Wisconsin in Madison, in year 2024, which is well adapted from Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision).

competition: https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/overview evaluation: 6 class each binary, column-wise ROC AUC, https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge#evaluation dataset: dir data/train.csv, data/test.csv technology: deep learning CNN http://cs231n.github.io/convolutional-networks/ lstm: http://colah.github.io/posts/2015-08-Understanding-LSTMs/, 自己写的，扔了就跑 ： https://zhuanlan.zhihu.com/p/35756075 bi-lstm: word embedding: https://towardsdatascience.com/introduction-to-word-embedding-and-word2vec-652d0c2060fa GloVe: embedding/glove.pdf keras: https://keras.io/zh/preprocessing/text/ network: tokenize -> word embedding -> (bi-lstm or lstm) -> CNN (3*3) (or deeper, see lstm_keras.py) -> pooling -> dense net -> 6 binary sigmoid for classify

homework of CS231n including RNN，CNN，LSTM，GAN

cs231n CNN 2016

CS231n Vol Surface CNN

The assignments of cs231n CNN courses

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This repo contains all solved assignments from stanford CS231n by Andrej Karpathy and Fei Fei Lee.

CS231n, Convolutional Neural Networks for Visual Recognition from Stanford University. Lectured By Fei Fei Li, Justin Johnson, Serena Yeung

Coursework for Stanford's CS231n: CNNs for Computer Vision

My solution to stanford cs231n: CNN for visual recognition

Assignment Solutions for Stanford CS231n - CNN for Visual Recognition

This repo contains my solutions to the 3 assignments given in the CS231n course (University of Stanford) on CNN and Computer Vision

🍉 Stanford CS231n Convolutional Neural Networks for Visual Recognition

CNN for CS231N

cs231n, DL, CV, CNN