INF5860/INF9860 - Machine Learning for Image Analysis
University of Oslo
Spring 2018
The follwing packages are required in this project
tensorflow==1.15
Everything you need for this exercise is contained in this folder. A brief description of the content follows.
Everything related to the assignment. This should be self-contained, and all information is found in this notebook. You can start the notebook from the command line with
$ jupyter notebook uio_inf5860_s2018_mandatory2_assignment.ipynb
This folder contains the whole program. All functions that you are to implement in this exercise is
found in src/model.py, but you are of course free to edit everything you want.
When you have implemented everything, you should be able to test your classifier with
$ python src/main.py
The exercise contains this notebook, some figures, and a src folder:
$ tree
.
├── figures
│ ├── cifar10_progress_default.png
│ ├── mnist_progress_default.png
│ └── svhn_progress_default.png
├── README.md
├── src
│ ├── import_data.py
│ ├── __init__.py
│ ├── main.py
│ ├── model.py
│ ├── run.py
│ └── tests.py
└── uio_inf5860_s2018_mandatory2_assignment.ipynb
Handles program flow, data input and configurations. You should be able to run this file as an executable: $ python src/main.py.
You should not need to change anything here.
Handles import of the following three datasets
- MNIST
- CIFAR10
- SVHN
You should not need to change anything here.
Contains training and evaluation routines.
You should not need to change anything here
Implements all the important logic of the classifier.
Everything you need to implement will be located in this file.
In this file, predefined arrays are defined. To be used when checking your implementations.