Hi Rajat,

Are you trying to have the network identify two sounds simultaneously. If so, you will need a somewhat different network architecture that can support classifying multiple objects within a single sample. For example, you may want to use multiple output layers. Or, instead of using a softmax layer, use a sigmoid layer which would support more than a single unit having full-activation within the output layer. You would have to change your loss function appropriately as well however.

Best of luck.

PhD. Interests include Deep (Reinforcement) Learning, Computational Neuroscience, and Phenomenology.

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