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https://github.com/suous/cs231n

CS231n: Deep Learning for Computer Vision, Stanford - Spring 2023
https://github.com/suous/cs231n

computer-vision cs231n cs231n-assignment cs231n-assignments

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CS231n: Deep Learning for Computer Vision, Stanford - Spring 2023

Host: GitHub
URL: https://github.com/suous/cs231n
Owner: suous
License: mit
Created: 2023-08-30T08:27:40.000Z (over 1 year ago)
Default Branch: main
Last Pushed: 2024-03-19T08:37:56.000Z (10 months ago)
Last Synced: 2024-03-20T08:52:15.010Z (10 months ago)
Topics: computer-vision, cs231n, cs231n-assignment, cs231n-assignments
Language: Jupyter Notebook
Homepage:
Size: 50.7 MB
Stars: 3
Watchers: 1
Forks: 1
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

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README

        
CS231n - Deep Learning for Computer Vision


Stanford - Spring 2023


## Assignments

- [Assignment 1: Deep Learning Basics](cs231n-deep-learning-for-computer-vision/2023/assignments/a1)

  - [Code](cs231n-deep-learning-for-computer-vision/2023/assignments/a1/code)

    - [Q1: k-Nearest Neighbor classifier](cs231n-deep-learning-for-computer-vision/2023/assignments/a1/code/knn.ipynb)

    - [Q2: Training a Support Vector Machine](cs231n-deep-learning-for-computer-vision/2023/assignments/a1/code/svm.ipynb)

    - [Q3: Implement a Softmax classifier](cs231n-deep-learning-for-computer-vision/2023/assignments/a1/code/softmax.ipynb)

    - [Q4: Two-Layer Neural Network](cs231n-deep-learning-for-computer-vision/2023/assignments/a1/code/two_layer_net.ipynb)

    - [Q5: Higher Level Representations: Image Features](cs231n-deep-learning-for-computer-vision/2023/assignments/a1/code/features.ipynb)

  - [Additional Notes](cs231n-deep-learning-for-computer-vision/2023/assignments/a1/additional-notes)

    - [A1: Calculate Distances](cs231n-deep-learning-for-computer-vision/2023/assignments/a1/additional-notes/001_calculate_distances.ipynb)

    - [A2: Support Vector Machine](cs231n-deep-learning-for-computer-vision/2023/assignments/a1/additional-notes/002_svm.ipynb)

    - [A3: Softmax](cs231n-deep-learning-for-computer-vision/2023/assignments/a1/additional-notes/003_softmax.ipynb)

    - [A4: Neural Network](cs231n-deep-learning-for-computer-vision/2023/assignments/a1/additional-notes/004_nn.ipynb)

- [Assignment 2: Perceiving and Understanding the Visual World](cs231n-deep-learning-for-computer-vision/2023/assignments/a2)

  - [Code](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/code)

    - [Q1: Multi-Layer Fully Connected Neural Networks](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/code/FullyConnectedNets.ipynb)

    - [Q2: Batch Normalization](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/code/BatchNormalization.ipynb)

    - [Q3: Dropout](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/code/Dropout.ipynb)

    - [Q4: Convolutional Neural Networks](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/code/ConvolutionalNetworks.ipynb)

    - [Q5: PyTorch on CIFAR-10](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/code/PyTorch.ipynb)

  - [Additional Notes](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes)

    - [A1: Neural Network Basics](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes/001_nn.ipynb)

    - [A2: Gray Scale Convolution](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes/002_gray_scale_convolution.ipynb)

    - [A3: RGB Scale Convolution](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes/003_rgb_scale_convolution.ipynb)

    - [A4: Batch RGB Scale Convolution](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes/004_batch_rgb_scale_convolution.ipynb)

    - [A5: Batch RGB Scale Convolution with Padding and Pooling](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes/005_batch_rgb_scale_convolution_with_padding_and_pooling.ipynb)

    - [A6: Convolution Benchmarks](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes/006_convolution_benchmarks.ipynb)

    - [A7: Convolution Backward](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes/007_convolution_backward.ipynb)

    - [A8: Pooling Layer Details](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes/008_pooling_layer_details.ipynb)

    - [A9: Generate Patches](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes/009_generate_patches.ipynb)

    - [A10: MLP-Mixer](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes/010_mlp_mixer.ipynb)

    - [A11: MetaFormer](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes/011_meta_former.ipynb)

- [Assignment3: Generative and Interactive Visual Intelligence](cs231n-deep-learning-for-computer-vision/2023/assignments/a3)

  - [Code](cs231n-deep-learning-for-computer-vision/2023/assignments/a3/code)

    - [Q1: Network Visualization: Saliency Maps, Class Visualization, and Fooling Images](cs231n-deep-learning-for-computer-vision/2023/assignments/a3/code/Network_Visualization.ipynb)

    - [Q2: Image Captioning with Vanilla RNNs](cs231n-deep-learning-for-computer-vision/2023/assignments/a3/code/RNN_Captioning.ipynb)

    - [Q3: Image Captioning with Transformers](cs231n-deep-learning-for-computer-vision/2023/assignments/a3/code/Transformer_Captioning.ipynb)

    - [Q4: Generative Adversarial Networks](cs231n-deep-learning-for-computer-vision/2023/assignments/a3/code/Generative_Adversarial_Networks.ipynb)

    - [Q5: Self-Supervised Learning for Image Classification](cs231n-deep-learning-for-computer-vision/2023/assignments/a3/code/Self_Supervised_Learning.ipynb)

    - [Extra Credit: Image Captioning with LSTMs](cs231n-deep-learning-for-computer-vision/2023/assignments/a3/code/LSTM_Captioning.ipynb)

  - [Additional Notes](cs231n-deep-learning-for-computer-vision/2023/assignments/a3/additional-notes)

    - [A1: Positional Encoding](cs231n-deep-learning-for-computer-vision/2023/assignments/a3/additional-notes/001_positional_encoding.ipynb)

    - [A2: Attention](cs231n-deep-learning-for-computer-vision/2023/assignments/a3/additional-notes/002_attention.ipynb)

    - [A3: SimCLR](cs231n-deep-learning-for-computer-vision/2023/assignments/a3/additional-notes/003_simclr.ipynb)