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Hi, I was wondering how I can extract activations from the lower audio layers. I guess "embeddings" are the same as "MaxPool_3"? and if that's correct, then "MaxPool", "MaxPool_1", and "MaxPool_2" corresponds to the first, second, and third max-pooling layers in the Audio ConvNet as explained in Arandjelovic and Zisserman 2018 (https://arxiv.org/abs/1712.06651)?
The text was updated successfully, but these errors were encountered:
That sounds right! You should be able to construct a new model stopping at the appropriate level and selectively load the model weights up to that layer from the existing ones. If you wanted, you could also swap out the output max pooling layer if you wanted to play around with further downsampling the embedding.
Hi, I was wondering how I can extract activations from the lower audio layers. I guess "embeddings" are the same as "MaxPool_3"? and if that's correct, then "MaxPool", "MaxPool_1", and "MaxPool_2" corresponds to the first, second, and third max-pooling layers in the Audio ConvNet as explained in Arandjelovic and Zisserman 2018 (https://arxiv.org/abs/1712.06651)?
The text was updated successfully, but these errors were encountered: