Hi! I used to be a Keras user, I want to port my functions to PyTorch. Recently I work on a video classification problem, which uses a similar architecture as LRCN (http://jeffdonahue.com/lrcn/), which applys CNN to extract features from each frame, then use LSTM for classification. In Keras, there is a timedistributed function (https://keras.io/layers/wrappers/) which can apply a layer to each temporal slice, I wonder PyTorch has similar implementations or how I can achieve similar function in this case? Any existing PyTorch example for it?
Thanks in advance for your patience and help!!