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#8 Proper use of lr parameter #9

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#8 Proper use of lr parameter #9

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2 changes: 1 addition & 1 deletion idlmam.py
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Expand Up @@ -120,7 +120,7 @@ def train_simple_network(model, loss_func, train_loader, test_loader=None, score
results[item] = []

#SGD is Stochastic Gradient Decent.
optimizer = torch.optim.SGD(model.parameters(), lr=0.001)
optimizer = torch.optim.SGD(model.parameters(), lr=lr)
#Place the model on the correct compute resource (CPU or GPU)
model.to(device)
for epoch in tqdm(range(epochs), desc="Epoch"):
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