Training Transformer network on Human Activity Recognition Datasets using Python
Budget: $30 – $250 USD
I need to train the Transfomer network on 5 datasets, namely:
UCF 101, Kinetics, HMDB51, Activity Net, and NTU RGB+D.
Also, I need another version of the Transformers network that adds some values to the Positional Vector before feeding it to the Encoder.
UCF 101, Kinetics, HMDB51, Activity Net, and NTU RGB+D.
Also, I need another version of the Transformers network that adds some values to the Positional Vector before feeding it to the Encoder.