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gabrielkirsten/sgd.py

Created February 17, 2019 22:07
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SGD
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sgd.py
for i in range(nb_epochs):
np.random.shufle(data)
for example in data:
params_grad = evaluete_gradient(loss_function, example, params)
params = params - learning_rate * params_grad
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