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May 15, 2019 18:24
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Stochastic Gradient Descent
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| def do_stochastic_gradient_descent(): | |
| w, b, eta, max_epochs = init_w, init_b, 1.0, 100 | |
| for i in range(max_epochs): | |
| dw, db = 0, 0 | |
| for x,y in zip(X,Y): | |
| dw += grad_w(w, b, x, y) | |
| db += grad_b(w, b, x, y) | |
| w = w - eta * dw | |
| b = b - eta * db |
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