Javier Naranjo-Alcazar

I have read in the paper that the best layer for feature extraction is 'pool5'. However, the feature sizes in that layer are h x w x 256. Any idea...

Is there any unsupervised implementation of a model?

[Task 4 - Baseline] Test and eval sets have different amount of files [13796 != 0]Test and eval sets have different amount of files [13796 != 0]

3

Hi there, I cannot run the baseline model because files download checking is not correct. My code is the following one: ``` db = DCASE2018_Task4_DevelopmentSet(included_content_types=['all'], local_path="/path/to/folder/where/dataset/is", data_path=param.get_path('path.dataset'), audio_paths=[ os.path.join("dataset", "audio",...