How do I arrive to the 2^n number of hidden units if only allowed 1 hidden layer? I think the 2 comes from the fact that it's binary (true/false) and n is the number of input units, but why the power notation 2^n?
after some more thinking, I think 2^n is the number of possible outcomes, e.g. for 4 input units there are 2^4 = 16 possible combinations of true/false that the neural network must enumerate
Am I only hearing high frequency sound in the background?
The image he used is actually a picture of his wife the self driving car ai entrepreneur Carol Reiley, how cute
She's Carol NG
Can we split the single network into multiple networks with if condition? Does it make sense for distributed computing?
So Deep!!:P
Guys focus on the class not the fact that how lucky he is ^^ hahaha
He has grinded a lot. Deserved it 😂
great explanation
very Deep
How do I arrive to the 2^n number of hidden units if only allowed 1 hidden layer? I think the 2 comes from the fact that it's binary (true/false) and n is the number of input units, but why the power notation 2^n?
after some more thinking, I think 2^n is the number of possible outcomes, e.g. for 4 input units
there are 2^4 = 16 possible combinations of true/false that the neural network must enumerate
who disliked the video?
probably his ex.