Gradient Descent Optimizer
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from queue import Queue
class GradientDescentOptimizer:
def __init__(self, learning_rate):
self.learning_rate = learning_rate
def minimize(self, loss):
learning_rate = self.learning_rate
class MinimizationOperation(Operation):
def compute(self):
# Compute gradients
grad_table = compute_gradients(loss)
# Iterate all variables
for node in grad_table:
if type(node) == Variable:
# Retrieve gradient for this variable
grad = grad_table[node]
# Take a step along the direction of the negative gradient
node.value -= learning_rate * grad
return MinimizationOperation()
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