Dogs vs. Cats Redux: Kernels Edition

This is the code for my entrance in Kaggle's Dogs vs. Cats competition.

It is a tiny CNN that was trained on my laptop GPU (GTX750M) for about 15 hours.

The model gave about 85% accuracy on a validation set and scored 1.98399 on Kaggle.

Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
.vscode		.vscode
data		data
logs		logs
model		model
utils		utils
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
__init__.py		__init__.py
model.png		model.png
predictions.csv		predictions.csv
predictions2.csv		predictions2.csv
predictions3.csv		predictions3.csv
test.py		test.py
train.py		train.py
weights.851-0.27.hdf5		weights.851-0.27.hdf5
weights.897-0.27.hdf5		weights.897-0.27.hdf5
weights.944-0.27.hdf5		weights.944-0.27.hdf5

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