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