@@ -6,7 +6,7 @@ The five video classification methods:
1. Extract features from each frame with a ConvNet, passing the sequence to an RNN, in a separate network
1. Use a time-dstirbuted ConvNet, passing the features to an RNN, much like #2 but all in one network
1. Extract features from each frame with a ConvNet and pass the sequence to an MLP
1. Use a 3D convolutional network
1. Use a 3D convolutional network (has two versions of 3d conv to choose from)
See the accompanying blog post for full details: https://medium.com/@harvitronix/five-video-classification-methods-implemented-in-keras-and-tensorflow-99cad29cc0b5
