Can anyone help me refine my model (music based CNN - artist recognition)?

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  • annoy

    Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

    Add your examples to the index and build the trees in annoy. I feel like its straight forward. There you have to provide the dimension of the features which is the feature vector you get. In my case I am reusing (without fine-tuning) the effecientNetB3 without the last layer. Hence it results in feature vectors with 1536 dimensions.

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