Deep-Learning-Computer-Vision VS cs231n

Compare Deep-Learning-Computer-Vision vs cs231n and see what are their differences.

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. (by seloufian)
Computer Vision visual-recognition Machine Learning Deep Learning convolutional-neural-networks Python Numpy Pytorch assignment stanford michigan cs231n cs231n-assignment eecs498-007
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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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mirzaim.github.io
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Deep-Learning-Computer-Vision cs231n
1 1
106 42
- -
2.6 0.0
about 3 years ago over 2 years ago
Jupyter Notebook Jupyter Notebook
- MIT License
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Deep-Learning-Computer-Vision

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cs231n

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What are some alternatives?

When comparing Deep-Learning-Computer-Vision 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]

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

ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

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

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

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

pytorch-implementations - A collection of paper implementations using the PyTorch framework

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

HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

DeepLearning - Contains all my works, references for deep learning

Deep-Learning-Computer-Vision vs stanford-CS229 cs231n vs coursera-deep-learning-specialization Deep-Learning-Computer-Vision vs ktrain cs231n vs stanford-cs229 Deep-Learning-Computer-Vision vs computervision-recipes cs231n vs stanford-CS229 Deep-Learning-Computer-Vision vs Face-Mask-Detection cs231n vs monodepth2 Deep-Learning-Computer-Vision vs pytorch-implementations cs231n vs deep-learning-v2-pytorch Deep-Learning-Computer-Vision vs HugsVision cs231n vs DeepLearning