|
..
|
|
examples
|
|
experiments
|
|
snapshot
|
|
001a_nn_basics.ipynb
|
|
001b_fit.ipynb
|
|
002_images.ipynb
|
|
002b_augment_training.ipynb
|
|
002c_warp.ipynb
|
|
003_rect_square_crop.ipynb
|
|
004_callbacks.ipynb
|
|
004a_discriminative_lr.ipynb
|
|
004b_mixed_precision.ipynb
|
|
005_dogs_cats.ipynb
|
|
005a_interpretation.ipynb
|
|
005b_planet.ipynb
|
|
006_carvana.ipynb
|
|
006a_unet.ipynb
|
|
006b_pascal.ipynb
|
|
006c_camvid.ipynb
|
|
007_wikitext_2.ipynb
|
|
007a_imdb_preparation.ipynb
|
|
007b_imdb_classifier.ipynb
|
|
008_movie_lens.ipynb
|
|
009_rossmann.ipynb
|
|
get_all.ipynb
|
|
mnist_sample.ipynb
|
|
stl-10.ipynb
|
|
x_003a_rect_images.ipynb
|
|
x_003b_rect_training.ipynb
|
|
x_003c_random_resized_crop.ipynb
|
|
x_004b_implement_fast_progress.ipynb
|
|
x_006a_coords.ipynb
|
|
x_006d_imgnet.ipynb
|
|
x_009a_rossman_data_clean.ipynb
|
|
x_alternative_progress_bar.ipynb
|
|
.gitignore
|
|
dogscats.py
|
|
forget_mult.py
|
|
mnist_sample.py
|
|
models.py
|
|
nb_001a.py
|
|
nb_001b.py
|
|
nb_002.py
|
|
nb_002b.py
|
|
nb_002c.py
|
|
nb_003.py
|
|
nb_004.py
|
|
nb_004a.py
|
|
nb_004b.py
|
|
nb_005.py
|
|
nb_005a.py
|
|
nb_005b.py
|
|
nb_006.py
|
|
nb_006a.py
|
|
nb_006b.py
|
|
nb_007.py
|
|
nb_007a.py
|
|
nb_007b.py
|
|
nb_008.py
|
|
nb_009.py
|
|
notebook2script.py
|
|
qrnn.py
|