cs229-solution VS stanford-CS229

Compare cs229-solution vs stanford-CS229 and see what are their differences.

cs229-solution

CS229 Solution (summer 2019, 2020). (by huyphz)

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] (by ccombier)
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cs229-solution stanford-CS229
1 8
2 380
- -
4.1 10.0
4 months ago 11 months ago
HTML Jupyter Notebook
MIT License -
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cs229-solution

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

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.

What are some alternatives?

When comparing cs229-solution and stanford-CS229 you can also consider the following projects:

stanford-cs229 - 🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

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

cs229-2019-summer - All notes and materials for the CS229: Machine Learning course by Stanford University

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

deep-learning-drizzle - Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

ai-deadlines - :alarm_clock: AI conference deadline countdowns

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.