4- Calculate the number of connections and the number of trainable parameters (weights)
4- Calculate the number of connections and the number of trainable parameters (weights) of each layer in the following convolutional neural network. Convolutional layer 1 31 28 39 4 36 1 Input layer Max-pooling layer 1 14 18 20 20 Convolutional layer 2 12 16 40 Max-pooling layer 2 6 8 3 40 40 Convolutional layer 3 4 4 2 60 60 Max-pooling layer 3 2 2 60 Convolutional layer 4 2 2 80 Soft-max layer Deep hidden identity features (DeepID) 160 n "
The answer is in this YouTube short video: Why Your CNN Has Millions of Parameters
https://youtube.com/shorts/L3B-EU9LarA?feature=share
a) Convert the following Mealy machine into Moore machine. Also Determ...
a) Convert the following Mealy machine into Moore machine. Also Determine the output stri...
Positive integer days_up is read from input, representing the days sin...
Positive integer days_up is read from input, representing the days since an event happened...
w=x2+y2; x=cos t,y=sin t;t=πa) dw/dt=?b) dw/dt=? at t=π
w=x2+y2; x=cos t,y=sin t;t=πa) dw/dt=?b) dw/dt=? at t=π
1- Write a program that computes the sum of the odd numbers and even n...
1- Write a program that computes the sum of the odd numbers and even numbers between a and...