1. Action Recognition

2. Dataset
UCF101
HMDB51
Kinetics

3. HMDB51
51 classes
7,000 clips

4. Kinetics
400 classes
300,000 clips

5. Architectures
3D Convnet
2D convnet → LSTM

6. 3D Convnet Uses 3d kernel to interpret temporal data
Is slower to train as it

7. 2D Convnet → LSTM
Can use image recongnition 2D convnet as a starting point to speed training
Can be very deep due to using LSTM

8. Python, Tensorflow, Caffe, Examples
Comfortable with Python
Have used Tensorflow
Need to finish installing Caffe
Coding examples. (
HMDB51