Work-in-progress notebooks, to be used in a deep learning workshop I'm putting together.
- 01-regression-keras.ipynb -- basic linear regression with toy data
- 02 - MLP, notmnist, keras -- one layer, then 2 or 3.
- 03 - monitoring performance, validation sets, etc -- illustrate what's going on above. Keras.
- 03.5 - Tuning -- dropout. Weight penalties.
- 04 - CPU GPU. Keras.
- 05 - TF demo. Same dataset.
- 01 - intro -- Keras, notmnist
- 02 - data augmentation demo
- TBD
- TBD
- TBD
- 01 - cars
- 01-notmnist-setup -- explore dataset, create pickled file for later use (based on TF example)