We consider 3-layer CNN, where Layer 1 has 38×38 input neurons, Layer 2 is a convoluted layer with 10×32×32 hidden neurons, and Layer 3 has 6 output neurons. From Layer 2 to Layer 3 we have fully connected links. How many weight and bias variables altogether from Layer 1 to Layer 2 plus from Layer 2 to Layer 3? Note: Please input the final integer value not any formula for the machine to grade.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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We consider 3-layer CNN, where Layer 1 has 38×38 input neurons, Layer 2 is a convoluted layer with 10×32×32 hidden neurons, and Layer 3 has 6 output neurons. From Layer 2 to Layer 3 we have fully connected links. How many weight and bias variables altogether from Layer 1 to Layer 2 plus from Layer 2 to Layer 3? Note: Please input the final integer value not any formula for the machine to grade.
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