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

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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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 W₂₁
Hidden layer:
100
3* 3072 100+ 100 * 10
h W₂
O 3072 * 100+ 100 * 10
O 3072 +100+10
O 3* (3072* 100+ 100 * 10)
S
Output: 10
Transcribed Image Text: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 W₂₁ Hidden layer: 100 3* 3072 100+ 100 * 10 h W₂ O 3072 * 100+ 100 * 10 O 3072 +100+10 O 3* (3072* 100+ 100 * 10) S Output: 10
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