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+1 to this.
Either a comment or a cell with an output that shows the entries and type/shape of input_features, I encountered this and tried to incorporate a cell for better visualization in my notebooks.
I also think, that if this is introduced in initial lessons, it would be of great help and relevance for the next lessons.
I found a very useful link in the transformer docs on data preprocessing here which mentions how padding and truncation can vary the shape of input_features to make every audio sample of the same size. See the image below:
In the section about preprocessing, it would be useful to add type/shape information of data produced after pre processing the data.
Specifically,
audio-transformers-course/chapters/en/chapter1/preprocessing.mdx
Line 186 in ac81306
input_features
. Is it 3d array of floats like [time, freq, ampl] ?The text was updated successfully, but these errors were encountered: