stanford-cs229 VS cs231n

Compare stanford-cs229 vs cs231n and see what are their differences.

stanford-cs229

🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford (by zyxue)
stanford cs229 Machine Learning andrew-ng andrew-ng-course

DISCONTINUED

Suggest alternative
Edit details

cs231n

Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition (by mirzaim)
Deep Learning cs231n cs231n-assignment Notes Computer Vision Solutions Pytorch stanford cs231 spring-2021 2021 Machine Learning convolutional-neural-networks neural-network
Source Code
mirzaim.github.io
Suggest alternative
Edit details
WorkOS
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors
stanford-cs229 cs231n
8 1
0 42
- -
0.8 0.0
over 2 years ago over 2 years ago
Jupyter Notebook Jupyter Notebook
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

stanford-cs229

Posts with mentions or reviews of stanford-cs229. We have used some of these posts to build our list of alternatives and similar projects.

cs231n

Posts with mentions or reviews of cs231n. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing stanford-cs229 and cs231n you can also consider the following projects:

cs229-solution - CS229 Solution (summer 2019, 2020).

coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

cs229-2018-autumn - All notes and materials for the CS229: Machine Learning course by Stanford University

Deep-Learning-Computer-Vision - 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-CS229 - Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng [UnavailableForLegalReasons - Repository access blocked]

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

monodepth2 - [ICCV 2019] Monocular depth estimation from a single image

TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

deep-learning-v2-pytorch - Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

DeepLearning - Contains all my works, references for deep learning

Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions - Solutions of Reinforcement Learning, An Introduction

stanford-cs229 vs cs229-solution cs231n vs coursera-deep-learning-specialization stanford-cs229 vs cs229-2018-autumn cs231n vs Deep-Learning-Computer-Vision stanford-cs229 vs coursera-deep-learning-specialization cs231n vs stanford-CS229 stanford-cs229 vs Made-With-ML cs231n vs monodepth2 stanford-cs229 vs TensorFlow-Examples cs231n vs deep-learning-v2-pytorch cs231n vs DeepLearning cs231n vs Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions