Forked from the repository containing jupyter notebooks for the book Deep Learning with Python (Manning Publications)

Created in October 2017 by Víctor Campos and Amaia Salvador, PhD candidates at Universitat Politècnica de Catalunya.

• Install Python 3.6
• Install requirements with pip install -r requirements.txt
• Install PyCairo:

git clone https://github.com/pygobject/pycairo.git
cd pycairo
python setup.py install

• Download the preprocessed Kaggle Cats and Dogs dataset from this link (86MB)
• Extract it under the data/ directory. After extraction you should have the following structure:

data/
data/cats_and_dogs_small/train
data/cats_and_dogs_small/validation
data/cats_and_dogs_small/test

• Download pre-extracted features here (16GB).
• Extract them under data:

data/
data/ucf101/train...

• The pretrained models that are required to run all the notebooks with no code changes required can be downloaded from this link (792MB). Download, extract, and place under data.

data/
data/models/
data/models/model_name.pkl
...

For any questions or suggestions use the issues section or drop us an e-mail at victor.campos@bsc.es or amaia.salvador@upc.edu