mlpractical/notebooks
2017-01-25 21:26:03 +00:00
..
res Adding figures for TensorFlow intro notebook. 2016-12-22 23:42:21 +00:00
01_Introduction.ipynb Squashed commit of fixes to allow lab 1 notebook to render on Github. 2016-10-06 12:30:05 +01:00
02_Single_layer_models.ipynb Modifying optmiser.train call in notebook to use new interface with run_time. 2016-10-18 13:45:28 +01:00
03_Multiple_layer_models.ipynb Changing code blocks to use small p Python. 2016-10-17 23:36:21 +01:00
04_Generalisation_and_overfitting.ipynb Fixing missing bias term from model visualisation. 2016-11-05 22:21:44 +00:00
05_Non-linearities_and_regularisation.ipynb Adding code for lab 5 notebook answers. 2016-10-27 21:43:08 +01:00
06_Dropout_and_maxout.ipynb Rerunning dropout experiment with non-stochastic evaluation. 2016-11-09 19:58:26 +00:00
07_Autoencoders.ipynb Updating Autoencoders notebook with solutions. 2016-12-26 18:58:30 +00:00
08_Introduction_to_TensorFlow.ipynb Clarifying initializers description: notebook save failed in previous commit. 2017-01-19 10:49:10 +00:00
09a_Object_recognition_with_CIFAR-10_and_CIFAR-100.ipynb Adding details and example code for Kaggle submission and accessing files on AFS. 2017-01-25 21:26:03 +00:00
09b_Music_genre_classification_with_the_Million_Song_Dataset.ipynb Adding details and example code for Kaggle submission and accessing files on AFS. 2017-01-25 21:26:03 +00:00
Convolutional layer tests.ipynb Fixing inconsistent channel ordering in constructor and docstring shape descriptions. 2016-11-09 19:47:42 +00:00
Coursework_1.ipynb Adding coursework files to master branch. 2016-10-14 03:56:06 +01:00