https://github.com/xiaohu2015/cs231n-assignment
The assignment for cs231n course
https://github.com/xiaohu2015/cs231n-assignment
computer-vision cs231n deeplearning
Last synced: about 1 year ago
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The assignment for cs231n course
- Host: GitHub
- URL: https://github.com/xiaohu2015/cs231n-assignment
- Owner: xiaohu2015
- Created: 2017-02-09T08:58:24.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2017-03-12T13:20:55.000Z (over 9 years ago)
- Last Synced: 2025-05-14T11:38:44.006Z (about 1 year ago)
- Topics: computer-vision, cs231n, deeplearning
- Language: Jupyter Notebook
- Size: 12.8 MB
- Stars: 9
- Watchers: 2
- Forks: 8
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# cs231n-learn
The assignment for cs231n course
## Environment
- Windows 10
- Python 3.5
## Assignment1
- K-Nearest Neighboor Classifier [[knn.py](https://github.com/xiaohu2015/cs231n-learn/blob/master/assignment1/classifiers/knn.py), [knn.ipynb](https://github.com/xiaohu2015/cs231n-learn/blob/master/assignment1/knn.ipynb)]
- Linear Classifier: linear SVM and softmax [[linear_classifier.py](https://github.com/xiaohu2015/cs231n-learn/blob/master/assignment1/classifiers/linear_classifier.py), [svm.ipynb](https://github.com/xiaohu2015/cs231n-learn/blob/master/assignment1/svm.ipynb), [softmax.ipynb](https://github.com/xiaohu2015/cs231n-learn/blob/master/assignment1/softmax.ipynb)]
- Two-Layer Neural Network [[neural_net.py](https://github.com/xiaohu2015/cs231n-learn/blob/master/assignment1/classifiers/neural_net.py), [two_layer_net.ipynb](https://github.com/xiaohu2015/cs231n-learn/blob/master/assignment1/two_layer_net.ipynb)]
## Assignment2
- Fully-connected Neural Network [[fc_net.py](https://github.com/xiaohu2015/cs231n-learn/blob/master/assignment2/cs231n/classifiers/fc_net.py), [FullyConnectedNets.ipynb](https://github.com/xiaohu2015/cs231n-learn/blob/master/assignment2/FullyConnectedNets.ipynb)]
- Batch Normalization [[BatchNormalization.ipynb](https://github.com/xiaohu2015/cs231n-learn/blob/master/assignment2/BatchNormalization.ipynb)]
- Dropout [[Dropout.ipynb](https://github.com/xiaohu2015/cs231n-learn/blob/master/assignment2/Dropout.ipynb)]
- ConvNet on CIFAR-10 [[cnn.py](https://github.com/xiaohu2015/cs231n-learn/blob/master/assignment2/cs231n/classifiers/cnn.py), [ConvolutionalNetworks.ipynb](https://github.com/xiaohu2015/cs231n-learn/blob/master/assignment2/ConvolutionalNetworks.ipynb)]
## Assignment3
- Image Captioning with Vanilla RNNs [[RNN_Captioning.ipynb](https://github.com/xiaohu2015/cs231n-learn/blob/master/assignment3/RNN_Captioning.ipynb)]
- Image Captioning with LSTMs [[LSTM_Captioning.ipynb](https://github.com/xiaohu2015/cs231n-learn/blob/master/assignment3/LSTM_Captioning.ipynb)]
- Image Gradients [[ImageGradients.ipynb](https://github.com/xiaohu2015/cs231n-learn/blob/master/assignment3/ImageGradients.ipynb)]
- Image Generation [[ImageGeneration.ipynb](https://github.com/xiaohu2015/cs231n-learn/blob/master/assignment3/ImageGeneration.ipynb)]
**All assignments are finished by Mar 12 2017**
**Thanks for the project [lightaime/cs231n](https://github.com/lightaime/cs231n) and [cthorey/CS231
](https://github.com/cthorey/CS231)**