-
Ask Your Neurons: A Neural-Based Approach to Answering Questions About Images
- Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
-
Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books
- Yukun Zhu, Ryan Kiros, Rich Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, Sanja Fidler
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Learning Query and Image Similarities With Ranking Canonical Correlation Analysis
-
Wah Ngo
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'''This script goes along the blog post | |
"Building powerful image classification models using very little data" | |
from blog.keras.io. | |
It uses data that can be downloaded at: | |
https://www.kaggle.com/c/dogs-vs-cats/data | |
In our setup, we: | |
- created a data/ folder | |
- created train/ and validation/ subfolders inside data/ | |
- created cats/ and dogs/ subfolders inside train/ and validation/ | |
- put the cat pictures index 0-999 in data/train/cats |
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# Compiled source # | |
################### | |
*.com | |
*.class | |
*.dll | |
*.exe | |
*.o | |
*.so | |
# Packages # |