https://github.com/hyzhak/cs231n-lecture-notes

my lecture notes of cs231n of Andrej Karpathy
https://github.com/hyzhak/cs231n-lecture-notes

andrej-karpathy cs231n deep-learning jupyter-notebook knn lecture-notes linear-classifier machine-learning

Last synced: about 2 months ago
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my lecture notes of cs231n of Andrej Karpathy

• Host: GitHub
• URL: https://github.com/hyzhak/cs231n-lecture-notes
• Owner: hyzhak
• License: mit
• Created: 2018-01-12T12:14:56.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2022-12-07T23:26:19.000Z (about 2 years ago)
• Last Synced: 2024-04-14T14:50:29.019Z (8 months ago)
• Topics: andrej-karpathy, cs231n, deep-learning, jupyter-notebook, knn, lecture-notes, linear-classifier, machine-learning
• Language: Jupyter Notebook
• Size: 19.9 MB
• Stars: 20
• Watchers: 3
• Forks: 9
• Open Issues: 19
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# cs231n-lecture-notes

My lecture notes of cs231n of Andrej Karpathy and Solutions for assignments.

## Notes :notebook:

- Lecture 1 is just introduction so I haven't done any notes there

- [Lecture 2](./lec2-data-driven-approach-knn-linear-classification.ipynb)

- [Lecture 3](./lec3-linear-classification-optimization.ipynb)

- [Lecture 4](./lec4-computational-graph-backpropagation-neural-networks.ipynb)

- [Lecture 5](./lec5-neural-network.ipynb)

- [Lecture 6](./lec6-neural-network-cnn.ipynb)

- [Lecture 7](./lec7-cnn.ipynb)

## Solutions :microscope:

- Assignment 1

  - [Q1: k-Nearest Neighbor classifier](./assignment1/knn.ipynb) **DONE**

  - [Q2: Multiclass Support Vector Machine (SVM)](./assignment1/svm.ipynb) **DONE**

  - [Q3: Softmax](./assignment1/softmax.ipynb) **DONE**

  - [Q4: Two-Layer Neural Network](./assignment1/two_layer_net.ipynb) **DONE**

  - [Q5: Higher Level Representations: Image Features](./assignment1/features.ipynb) **DONE**

- Assignment 2

  - [Q1 Fully-connected Neural Network](./assignment2/FullyConnectedNets.ipynb) **IN PROGRESS**