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> So, let's choose two different learning rates, eta = 0.1 and eta = 0.0001, to start with and plot the cost functions versus the number of epochs to see how well the Adaline implementation learns from the training data.
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- pg. 45: Arrows should be perpendicular to the contour lines.
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## Chapter 3
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- pg 56: The comment about the `n_iter` method can be ignored as it does not apply to recent scikit-learn versions (0.21 and newer)
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## Chapter 13
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- pg. 469: Instead of `tf.keras.activations.tanh(z)` it should be `tf.keras.activations.relu(z)`.
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## Chapter 15
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- pg. 524: "valid" and "same" are swapped in the figure here. You can use the 2D version of this figure from the 2nd edition as reference, where this is correct:
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![](images/524-old.png)

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