- cs231n VS coursera-deep-learning-specialization
- cs231n VS stanford-cs229
- cs231n VS Deep-Learning-Computer-Vision
- cs231n VS stanford-CS229
- cs231n VS monodepth2
- cs231n VS deep-learning-v2-pytorch
- cs231n VS DeepLearning
- cs231n VS Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
- cs231n VS machinehearing
Cs231n Alternatives
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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
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stanford-cs229
Discontinued 🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford (by zyxue)
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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.
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stanford-CS229
Discontinued Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng [UnavailableForLegalReasons - Repository access blocked]
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deep-learning-v2-pytorch
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Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
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cs231n reviews and mentions
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Assignment solutions for Stanford CS231n-Spring 2021
Here's the link to my Repo.
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mirzaim/cs231n is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of cs231n is Jupyter Notebook.
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