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View Code? Open in Web Editor NEWTutorial for International Summer School on Deep Learning, 2019
Tutorial for International Summer School on Deep Learning, 2019
Dear Daniel Pressel,
I have found your tutorial for the International Summer School on Deep Learning very elucidating (I was not there, though). However, there is one concept that is not clear to me. For example, when you say in the Second Section (Contextualized Embeddings) in the colab:
At every step of training, we will detach our hidden states, preventing full backpropagation, but we will initialize the new batch from our old hidden state
Could you further elaborate on why detaching the hidden states (both h, and c) is a necessary step? Or could you point to a reference where this is explained?
Thanks!
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