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it unlocks many cool features!
- def fit_v2(x, y, model, opt, loss_fn, epochs = 1000):
- for epoch in range(epochs):
- loss = loss_fn(model(x), y)
- loss.backward()
- opt.step()
- opt.zero_grad()
- return loss.item()
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