Deep Learning(CS7015): Lec 4.1 Feedforward Neural Networks (a.k.a multilayered network of neurons)

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lec04mod01
  1. NPTEL-NOC IITM
  2. deep learning
  3. prof.mitesh khapra
  4. iitmadras
  5. nptel deep learning
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Комментарии
Автор

@15:41 "with great complexity comes....great power" with great power comes great responsibility. with great responsibility comes great expectations. with great expectations comes great sacrifice. with great sacrifice comes great reward.
And thus... the objective function was maximized

RahulMadhavan
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Shouldn't W_L at 6:31 be 'kxn' and not the other way around?

syedhasany
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In a = b+w*h formula either w should be transposed or w size should be (no.of outputs by no.of inputs). only then the matrix multiplication w*h happens as expected.

jagadeeshkumarm
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I think the objective loss function (yi_hat-yi)^2 is correct. It minimizes the error for all the samples while training which are i = 1 to N. What you did was write the error function in granularly. bith are needed.

BhuShu
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There is a slight mistake in the formula ai = bi + W(i)`*h(i-1)

It makes sense when we see which weight wi is multiplied by which xi

ashiqhussainkumar
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Can anyone plz explain the last error.
What does summation over i instances mean?

mlofficial
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it will be min(i/k(fun)) not min(i/n(fun))

anshrai
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Find if following is a Linearly Separable Problem or not.

        ((¬A OR B) AND 1) OR 0

Also create a Neural Network for given equation with a
suitable set of weights.

MuhammadWaseem-vbqe