After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.
Completed the CS231n 2017 spring assignments from Stanford university
Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
机器学习、深度学习、自然语言处理、计算机视觉、各种算法等AI领域相关技术的路线、教程、干货分享。笔记有：机器学习实战、剑指Offer、cs231n、cs131、吴恩达机器学习、cs224n、python自然语言处理实战
Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).
My CS231n lecture notes
This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).
Shortest solutions for CS231n 2021-2024
👋 ML/DL学习笔记（基础+论文）
A Real-time Mario Kart 64 AI using ConvNets.
Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.
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.
Stanford CS class CS231n: Convolutional Neural Networks for Visual Recognition
Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks
CS231n Assignments Solutions - Spring 2020
My own solutions for Stanford CS231n (2017) assignments
Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
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