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Update exercise4.ipynb #25

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2 changes: 1 addition & 1 deletion Exercise4/exercise4.ipynb
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Expand Up @@ -663,7 +663,7 @@
"$$ \\delta^{(2)} = \\left( \\Theta^{(2)} \\right)^T \\delta^{(3)} * g'\\left(z^{(2)} \\right)$$\n",
"Note that the symbol $*$ performs element wise multiplication in `numpy`.\n",
"\n",
"1. Accumulate the gradient from this example using the following formula. Note that you should skip or remove $\\delta_0^{(2)}$. In `numpy`, removing $\\delta_0^{(2)}$ corresponds to `delta_2 = delta_2[1:]`.\n",
"1. Accumulate the gradient from this example using the following formula. Note that you should skip or remove the first column of $\\Theta^{2}$. In `numpy`, removing first column corresponds to `Theta2 = Theta2[:,1:]`.\n",
"\n",
"1. Obtain the (unregularized) gradient for the neural network cost function by dividing the accumulated gradients by $\\frac{1}{m}$:\n",
"$$ \\frac{\\partial}{\\partial \\Theta_{ij}^{(l)}} J(\\Theta) = D_{ij}^{(l)} = \\frac{1}{m} \\Delta_{ij}^{(l)}$$\n",
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