Suppose that the two-layer fully connected network pictured below is trained with a batch size of 3. How many trainable network parameters are there (assuming that there are NO biases used throughout the network)?. Input: 3072 X W₂ h W₂ Hidden layer: 100 O 3* 3072 100+ 100 * 10 O 3072 * 100+ 100 * 10 O 3072 +100+10 O 3 (3072 100+ 100 * 10) S Output: 10

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A:

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A: Dear Student, The answer to your question is given below -

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