cs231n VS coursera-deep-learning-specialization

Compare cs231n vs coursera-deep-learning-specialization and see what are their differences.

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
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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 (by amanchadha)
Deep Learning Coursera coursera-assignment coursera-specialization coursera-machine-learning andrew-ng andrew-ng-course convolutional-neural-networks cnns recurrent-neural-networks rnns convolutional-neural-network recurrent-neural-network hyperparameter-optimization hyperparameter-tuning neural-network neural-networks neural-machine-translation neural-style-transfer regularization
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cs231n coursera-deep-learning-specialization
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cs231n

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

coursera-deep-learning-specialization

Posts with mentions or reviews of coursera-deep-learning-specialization. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing cs231n and coursera-deep-learning-specialization 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

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]

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.

deeplearning-notes - Notes for Deep Learning Specialization Courses led by Andrew Ng.

Emotion_Detection_CNN_keras - Train and test our algorithm using Convolution Neural Networks and classify emotions in real-time.

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

start-machine-learning - A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

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

Soevnn - A neural net with a terminal-based testing program.

cs231n vs stanford-cs229 coursera-deep-learning-specialization vs stanford-CS229 cs231n vs Deep-Learning-Computer-Vision coursera-deep-learning-specialization vs deeplearning-notes cs231n vs stanford-CS229 coursera-deep-learning-specialization vs Emotion_Detection_CNN_keras cs231n vs monodepth2 coursera-deep-learning-specialization vs start-machine-learning cs231n vs deep-learning-v2-pytorch coursera-deep-learning-specialization vs stanford-cs229 cs231n vs DeepLearning coursera-deep-learning-specialization vs Soevnn