Difference between revisions of "DPS921/PyTorch: Convolutional Neural Networks"
(→Convolutional Neural Networks Using Pytorch) |
(→Convolutional Neural Networks Using Pytorch) |
||
| Line 4: | Line 4: | ||
be written in Jupyter Lab both for demonstration and implementation purposes. Furthermore, using the the torchvision dataset, the goal | be written in Jupyter Lab both for demonstration and implementation purposes. Furthermore, using the the torchvision dataset, the goal | ||
| − | was to show training of the neural network, and show the classification of several images which | + | was to show the training of the neural network, and show the classification of several images which have a single digit from 0 - 9. |
| + | |||
| + | A successful execution will show the correct determination of what number resides in that specific image. | ||
== Group Members == | == Group Members == | ||
Revision as of 21:59, 6 November 2020
Convolutional Neural Networks Using Pytorch
The basic idea was to create a convolutional neural network using the python machine learning Framework PyTorch. The actual code will
be written in Jupyter Lab both for demonstration and implementation purposes. Furthermore, using the the torchvision dataset, the goal
was to show the training of the neural network, and show the classification of several images which have a single digit from 0 - 9.
A successful execution will show the correct determination of what number resides in that specific image.
Group Members
1. Shervin Tafreshipour
2. Parsa Jalilifar
3. Novell Rasam
Progress
Friday,Nov 6, 2020 - Created a basic CNN in jupyterlab using the pytorch Framework.
