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typo in p2

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Morten Hjorth-Jensen
2021-10-20 09:50:37 +02:00
parent 97f4edb10b
commit 86358bc28a
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doc/src/Projects/2021/Project2/Project2.do.txt
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@@ -49,7 +49,7 @@ epochs as well as algorithm for scaling the learning rate. You can
also compare your own results with those that can be obtained using
for example _Scikit-Learn_'s various SGD options. Discuss your
results. For Ridge regression you need now to study the results as functions of the hyper-parameter $\lambda$ and
the learning rate $\gamma$. Discuss your results.
the learning rate $\eta$. Discuss your results.
You will need your SGD code for the setup of the Neural Network and Logistic Regression codes. You will find the Python "Seaborn package":"https://seaborn.pydata.org/generated/seaborn.heatmap.html" useful when plotting the results as function of the learning rate $\eta$ and the hyper-parameter $\lambda$ when you use Ridge regression.