├── .gitignore ├── README.md ├── assignment1 ├── Figure_Tool.py ├── Plot.py ├── README.md ├── Untitled0.ipynb ├── collectSubmission.sh ├── cs231n │ ├── Useful_Tip_ML_Python.aux │ ├── Useful_Tip_ML_Python.fdb_latexmk │ ├── Useful_Tip_ML_Python.fls │ ├── Useful_Tip_ML_Python.pdf │ ├── Useful_Tip_ML_Python.synctex.gz │ ├── Useful_Tip_ML_Python.tex │ ├── __init__.py │ ├── auto │ │ └── Useful_Tip_ML_Python.el │ ├── classifiers │ │ ├── .#softmax.py │ │ ├── __init__.py │ │ ├── k_nearest_neighbor.py │ │ ├── linear_classifier.py │ │ ├── linear_svm.py │ │ └── softmax.py │ ├── data_utils.py │ ├── datasets │ │ ├── .gitignore │ │ └── get_datasets.sh │ ├── features.py │ └── gradient_check.py ├── features.ipynb ├── knn.ipynb ├── requirements.txt ├── softmax.ipynb └── svm.ipynb ├── assignment2 ├── .DS_Store ├── .ipynb_checkpoints │ ├── BatchNormalization-checkpoint.ipynb │ ├── Dropout-checkpoint.ipynb │ └── FullyConnectedNets-checkpoint.ipynb ├── BatchNormalization.ipynb ├── ConvolutionalNetworks.ipynb ├── Dropout.ipynb ├── FullyConnectedNets.ipynb ├── README.md ├── collectSubmission.sh ├── cs231n │ ├── .gitignore │ ├── __init__.py │ ├── classifiers │ │ ├── __init__.py │ │ ├── cnn.py │ │ ├── convnet.py │ │ └── fc_net.py │ ├── data_utils.py │ ├── datasets │ │ ├── .gitignore │ │ └── get_datasets.sh │ ├── fast_layers.py │ ├── gradient_check.py │ ├── im2col.py │ ├── im2col_cython.pyx │ ├── layer_utils.py │ ├── layers.py │ ├── optim.py │ ├── setup.py │ ├── solver.py │ └── vis_utils.py ├── experiments │ ├── FirstConvNet │ │ ├── FirstConvNet.py │ │ ├── conf_init_maker.py │ │ └── model_0 │ │ │ └── conf_init.json │ └── ThreeLayerConvnet │ │ ├── ThreeLayerConvnet.py │ │ ├── conf_init_maker.py │ │ └── model_0 │ │ ├── Exploration.ipynb │ │ └── conf_init.json ├── frameworkpython ├── kitten.jpg ├── puppy.jpg ├── requirements.txt ├── start_ipython_osx.sh └── test_newconv.ipynb ├── assignment3 ├── .gitignore ├── ImageGeneration.ipynb ├── ImageGradients.ipynb ├── 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