cw2 upload

.gitignore

@@ -1,5 +1,6 @@
 #dropbox stuff
 *.dropbox*
+.idea/*
 
 # Byte-compiled / optimized / DLL files
 __pycache__/
@@ -58,3 +59,10 @@ docs/_build/
 
 # PyBuilder
 target/
+
+# Pycharm
+.idea/*
+
+
+#Notebook stuff
+notebooks/.ipynb_checkpoints/

README.md

@@ -1,6 +1,6 @@
 # Machine Learning Practical
 
-This repository contains the code for the University of Edinburgh [School of Informatics](http://www.inf.ed.ac.uk) course [Machine Learning Practical](http://www.inf.ed.ac.uk/teaching/courses/mlp/).
+This repository contains the code for the University of Edinburgh [School of Informatics](http://www.inf.ed.ac.uk) course Machine Learning Practical.
 
 This assignment-based course is focused on the implementation and evaluation of machine learning systems. Students who do this course will have experience in the design, implementation, training, and evaluation of machine learning systems.
 
@@ -16,3 +16,4 @@ If you are working remotely, follow this [guide](notes/remote-working-guide.md).
 ## Getting set up
 
 Detailed instructions for setting up a development environment for the course are given in [this file](notes/environment-set-up.md). Students doing the course will spend part of the first lab getting their own environment set up.
+

VGG_08/result_outputs/summary.csv

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VGG_08/result_outputs/test_summary.csv

@@ -0,0 +1,2 @@
+test_acc,test_loss
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VGG_38/result_outputs/summary.csv

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VGG_38/result_outputs/test_summary.csv

@@ -0,0 +1,2 @@
+test_acc,test_loss
+0.01,4.608619

install.sh

@@ -0,0 +1,2 @@
+conda install tqdm
+conda install pytorch torchvision cudatoolkit=10.1 -c pytorch

mlp/__init__.py

@@ -1,6 +1,6 @@
 # -*- coding: utf-8 -*-
 """Machine Learning Practical package."""
 
-__authors__ = ['Pawel Swietojanski', 'Steve Renals', 'Matt Graham']
+__authors__ = ['Pawel Swietojanski', 'Steve Renals', 'Matt Graham', 'Antreas Antoniou']
 
 DEFAULT_SEED = 123456  # Default random number generator seed if none provided.