Numerical underflow

If we are using so much small values (After batch normalisation,weight decay and other squezzing functiones) in deep learning lesson 5 …wont it be at risk of numerical underflow??

You probably meant this.

Underflow is something different.

No buddy…I meant numerical underflow…if resulting output is too less then machine is unable to store it …this is called numerical undeflow