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Hi there,
Thanks for this implementation! I realise you're likely not working on this anymore, but I wanted to check if there is an error in the model setup, or if I have misunderstood something. Your action classification bit is as follows:
# Action classification - classify the manouever
main_output = TimeDistributed(
Dense(self.dense_units, activation='softmax', kernel_initializer=self.kernel_initializer),
name='aux_classifier'
)(aux_output)
From my understanding, the output of the model would be a softmax operation over a 128 dim vector. Based on your sketch, it seems like this should be a standard dense layer with tanh activation, followed by another dense layer with softmax over the 5 categories.
Hope my interpretation is correct - if I have misunderstood something, please let me know!
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