Created
September 2, 2018 14:17
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| drad_squared = 0 | |
| for _ in num_iterations: | |
| dw = compute_gradients(x, y) | |
| grad_squared = 0.9 * grads_squared + 0.1 * dx * dx | |
| w = w - (lr / np.sqrt(grad_squared)) * dw |
+1 to the above comment, it seems there are a few typos, here
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It should be :
grad_squared = 0
for _ in range (num_iterations):
dw = compute_gradients(x, y)
grad_squared = 0.9 * grad_squared + 0.1 * (dw * dw) # or grad_squared = 0.9 * grad_squared + 0.1 * (dw ) ** 2
w = w - (lr / np.sqrt(grad_squared)) * dw