Week 2: Resnet50 Tips Question

Course Q&A Deep Learning Specialization Convolutional Neural Networks
1

Hello,

I’ve really enjoyed the course and I’m trying to implement my own resnet using a different dataset and was wondering if could get some tips.

Exercise 3 - ResNet50

In our assignment, from stage 2 to stage 4, we added an identity block at every stage. Instead of manually inputting all the blocks for every stage, is there a way to automatically add the identity blocks at every stage through a loop or something?

For example, if my script just finished running stage 2…

    X = convolutional_block(X, f = 3, filters = [64, 64, 256], s = 1)
    X = identity_block(X, 3, [64, 64, 256])
    X = identity_block(X, 3, [64, 64, 256])

…can I make it so that the next loop runs the above, but with an additional identity block? (but of course with the appropriate filters for stage 3)

Thanks in advance!

2

You can use a loop for this.

# here's an example
X = convolutional_block(...)
for _ in range(num_times):
	X = identity_block(X, ...)