coursera-deep-learning-specialization VS cs231n

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

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

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 cs231n
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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.

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 coursera-deep-learning-specialization and cs231n you can also consider the following projects:

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]

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

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

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.

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

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!

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

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

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

DeepLearning - Contains all my works, references for deep learning

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