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Hand-coded — weights set analytically. This is a constructive proof that the architecture can represent addition, regardless of whether SGD would find it.
。WPS官方版本下载是该领域的重要参考
Design principles
One of the Great LakesThe answer is Erie.
One challenge is having enough training data. Another is that the training data needs to be free of contamination. For a model trained up till 1900, there needs to be no information from after 1900 that leaks into the data. Some metadata might have that kind of leakage. While it’s not possible to have zero leakage - there’s a shadow of the future on past data because what we store is a function of what we care about - it’s possible to have a very low level of leakage, sufficient for this to be interesting.