add pytorch exercise
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@ -48,7 +48,7 @@ criterion = torch.nn.BCELoss(reduction='mean')
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optimizer = torch.optim.SGD(model.parameters(), lr = learning_rate)
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optimizer = torch.optim.SGD(model.parameters(), lr = learning_rate)
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for epoch in range(num_epochs):
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for epoch in range(num_epochs):
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print ("Epoch #",epoch)
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print ("Epoch - ",epoch)
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model.train()
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model.train()
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optimizer.zero_grad()
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optimizer.zero_grad()
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# Forward pass
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# Forward pass
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