Notes and Assignments for UFLDL Tutorial - Python3 code
pip install numpy
pip install matplotlib
pip install scipy- Download data from assignment link before you run the exercise.
- Notes
- Assignment
- Data：
IMAGES.mat
python train.py- MNIST (download MNIST data)
python train.py- Assignment
- Data：
IMAGES_RAW.mat
python pca_gen.py- Assignment
- Data：
train-images-idx3-ubyte,train-labels-idx1-ubyte,t10k-images.idx3-ubyte,t10k-labels.idx1-ubyte
python softmaxExercise.py- Assignment
- Data：
train-images-idx3-ubyte,train-labels-idx1-ubyte
python stlExercise.py- Assignment
- Data：
train-images-idx3-ubyte,train-labels-idx1-ubyte,t10k-images.idx3-ubyte,t10k-labels.idx1-ubyte
python stackedAEExercise.py- Assignment
- Data：
stlSampledPatches.mat
python linearDecoderExercise.py- Assignment
- Data：
stlTestSubset.mat,stlTrainSubset.mat
python cnnExercise.py