Hello all, I have a question about the model overview: what is the one-hot vectors X representing?
The description says that X has shape (m, Tx, 90), where:
m is number of training examples
Tx is a snippet of 30 musical values
90 dim is a one-hot vector
It’s not clear to me what this one-hot vector is representing. Before reading this description, I thought in this assignment each X input would be an audio snippet, so the system would learn how to generate the following snippet Y=X<t+1>.
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It was a representation of the tone at each time step. Section 1.1 is explaining that idea, and under which you can also find a variable called indices_values that defines what each one of those 90 musical values are.
We might expect an audio is just a 1D time series, but we could consider the assignment is using a different representation that details out exactly what muscial value is used at each time step.
At the end of the notebook there is a generate_music function. If you check out its code in data_utils.py, it should somehow combine those 90 values to make an audio clip.
Hello @rmwkwok,
Thank you for your reply. Does this means that there are 90 values in total, but at each training example we only work with a sequence of 30 of them (indices X<1> to X ^Tx )?
