Project 2019 02

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Lviv Data Science Summer School

Representation learning for image classification

Daten & Analysen

Our model and DataSet
2 million pictures
high misclassification label

1. Create
ImageDataBunch
2. Learn freeze pre-
training ResNet50
3. Fine-tuning unfreeze
pre-training ResNet50
4. Drop TOP loss
pictures and start again

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Project 2019 02

1. Representation learning for image classification and price prediction Yelyzaveta Pudim, Sergii Rizvan, Serhiy Protsenko Mentors: Anton Shcherbyna, Artem Chernov

3. Project Goals what we will achieve

5. Our model and DataSet 2 million pictures high misclassification label

6. 1. Create ImageDataBunch 2. Learn freeze pre- training ResNet50 3. Fine-tuning unfreeze pre-training ResNet50 4. Drop TOP loss pictures and start again

7. Interpretation

8. Embedding 4096x1 512x1 220x1

10.

11. Meet our bot @lalafobot

Project 2019 02

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Project 2019 02