Question

Consider a Convolutional Neural Network which accepts a 120 x 120 CMYK image as input. The network has a series of 5 convolutional layers, where the parameters in conv layers 1, 3, and 5 are shared. Each conv-layer has 20 3x5 filters. The output of the last conv-layer is flattened and passed through a fully connected layer with 30 neurons, which is then passed through another fully connected layer of 10 neurons. Each neuron in the fully connected layers and each filter in the conv-layers also have a scalar bias associated with them, which are also trainable parameters. Calculate the total number of trainable parameters in the network. Show your calculation.

Answer 1

Answer:

727262790090001000

Explanation:

8191819919181721-6171718181881+271828189191