Consider a convolutional neural network model that has three convolution layers. The first layer has $50$ filters,

$\frac{0}{4}$ points

the second layer has $100$ filters, and the third layer has $200$ filters. All convolution layers have stride$=2,$ and the same padding. The input images are $300400$ pixels with RGB channels. Assume filter size of $33.$

How many trainable parameters does the CNN model have? Enter integer answer.

$2257000$

$($x$)$ Incorrect

Here is an example of how you would calculate the parameters in the first layer.

Parameters in $1$st layer; $50$ filters with $333$ size $+1$ bias $=50(333+1)=1400$

Based on this, can you calculate the total number of parameters?