n01z3 / kaggle_yt8m

This is my code from competition Google Cloud & YouTube-8M Video Understanding Challenge. My solution based on video level features only.

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Descripton

This is my code from competition Google Cloud & YouTube-8M Video Understanding Challenge. My solution based on video level features only.

Used packages

  • Keras 1.2.2
  • TensorFlow 2.1

Run

To run this code localy

  • change paths in n00_localconfig.py
  • run n02_convert.py to convert *tfrecord files to *npz
  • run train_all.sh to train all nets

Net

The main idea is to adopted ResNet architecture to multilayer perceptron. Other variations in n12_pepe_zoo.py

alt text

Train log

Here is training log for all nets in ensemble. 20 iterations = 1 epoch. alt text

About

This is my code from competition Google Cloud & YouTube-8M Video Understanding Challenge. My solution based on video level features only.


Languages

Language:Python 87.3%Language:Shell 12.7%