Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

Solutions and comments to assignments for 2019 Stanford's course on convolutional neural networks

Yes, we are translating the famous CS231n 's assignments into Chinese! Join us on WeChat: BigDataDigest

Stanford CS class CS231n: Convolutional Neural Networks for Visual Recognition

斯坦福cs231n-深度学习CV经典课程

Notes and slides for Stanford CS231n 2021 & 2022 in English. I merged the contents together to get a better version. Assignments are not included. 斯坦福cs231n的课程笔记(英文版本，不含实验代码)，将2021与2022两年的课程进行了合并，分享以供交流。

Homework assignments for the Stanford CS 231n (Deep Learning for Computer Vision) class offered in Spring 2023.

The assignments of CS231n finished by me

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/

Assignments of Stanford CS231n CV course.

CS231n: Convolutional Neural Networks for Visual Recognition

Stanford CS231n: Convolutional Neural Networks for Visual Recognition

My solution and notes for the Stanford CS231N Deep Learning for Computer Vision

Stanford cs231n Translation.学习斯坦福大学cs231n课程，所做的笔记，文档，作业等的中文翻译

Assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

My solutions for the assignments of CS231n course(2021 Spring) of Stanford university

solutions to stanford cs231 winter2016 assignments

This is a report including all projects in my 2019 Fall Artificial Intelligence course (DATA130008.01) in School of Data Science of Fudan University . The project is mainly adapted from UCB CS118 and Stanford CS231.

I encountered some trouble when doing the assignment with python3 on windows and managed to solve it.

This repository contains assignments of Stanford Deep Learning Course cs231n.

Unsupervised Learning of Time-Dependent CFD Solutions using LSTMs

Image Classifier with kNN, SVM, MLP, CNN; Caption with RNN, Transformer; GAN on MNIST; Self-Supervised on unlabel data.

I wrote down what I read and understatnd from cs231 by stanford. The contents mostly reflects the course. However, I added some new code snippets and theory for better understanding.

Python numpy tutorial based on stanford cs231

Notes / Assignments

My solutions to the class assignments

Stanford's C231n course, assignments completed using both PyTorch 1.6 and TensorFlow 2.3, taken in summer 2020.

Stanford CS231n(2024Spring) assignments Reference

Exercise answers to the problem sets from CS231n: Convolutional Neural Networks for Visual Recognition, 2016