UFLDL

Notes and Assignments for UFLDL Tutorial - Python3 code

Depends

pip install numpy
pip install matplotlib
pip install scipy

Tips

• Download data from assignment link before you run the exercise.

Sparse Autoencoder

• Notes
• Assignment
• Data：IMAGES.mat

python train.py

Vectorization

• MNIST (download MNIST data)

python train.py

PCA and Whitening

• Assignment
• Data：IMAGES_RAW.mat

python pca_gen.py

Softmax Regression

• Assignment
• Data：train-images-idx3-ubyte,train-labels-idx1-ubyte,t10k-images.idx3-ubyte,t10k-labels.idx1-ubyte

python softmaxExercise.py

Self-Taught Learning and Unsupervised Feature Learning

• Assignment
• Data：train-images-idx3-ubyte,train-labels-idx1-ubyte

python stlExercise.py

Building Deep Networks for Classification

• Assignment
• Data：train-images-idx3-ubyte,train-labels-idx1-ubyte,t10k-images.idx3-ubyte,t10k-labels.idx1-ubyte

python stackedAEExercise.py

Linear Decoders with Autoencoders

• Assignment
• Data：stlSampledPatches.mat

python linearDecoderExercise.py

Working with Large Images

• Assignment
• Data：stlTestSubset.mat,stlTrainSubset.mat

python cnnExercise.py