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Application of ANN Algorithms Implemented in mlpack - Week 4
Application of ANN Algorithms Implemented in mlpack - Week 4
Tasks
- Completed the PR on image saving feature.
- Written tutorials on how to use image utilities for loading and saving images.
- Added global max & mean pooling to VGG19 model.
Results
Initially VGG19on minist dataset showed divergence,
Epoch 0
Loss after cycle 0 -> 310.261
Epoch 1
Loss after cycle 1 -> 223.393
Epoch 2
Loss after cycle 2 -> 2.83091e+10
Epoch 3
Loss after cycle 3 -> 6.03322e+45
So, I retuned the hyper parameters involving initialization and step size. I hope that it gives good results.
Next Week Goals
- Completing the PR on Image Loading in accordance data::Load() and data::Save() API calls.
- Complete the documentation on VGG.
- Revise the tutorials for image loading/saving.
Thanks for reading. Have a nice day :smile:
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