Archive December 15, 2021

1. Download the flower dataset.
2. Put in the same path with the digit dataset.
3. Open MATLAB go to the desktop directories.
4. Click ANN.m file to open.
5. Adjust the flower dataset file path based on your flower dataset location.
6. Adjust the parameters to meet with the new dataset.
   • imageInputLayer([28 28 1]) change to imageInputLayer([50 50 3])
   • comment numTrainFiles = 200; to %numTrainFiles = 200;
   • numTrainFiles = 4800 * (PercentageTrainFile / 100); change to numTrainFiles = 20 * (PercentageTrainFile / 100);
   • fullyConnectedLayer(8) change to fullyConnectedLayer(4)
7. Once done click run.

That’s all 🙂

1. Download the project file above.
2. Put in the desktop.
3. Open MATLAB go to the desktop directories.
4. Click ANN.m file to open.
5. Adjust the dataset file path based on your dataset location. (E.g “C:\Users\Izzad\Desktop\ANN GUI”)
6. Once done click run.

That’s all for this part 🙂

1. Search simple deep learning in the search field.
2. Find “Create Simple Deep Learning Network for Classification”.
3. Click open live script.
4. Run the example.
5. See the accuracy rate
6. Adjust the parameters.
7. Compare the accuracy result.

That’s all for this part:)

Example 1

Example 2

Example 3

Example 4

Example 5

Note: To produce standalone program run this code mcc -m filename.m

Others