diff --git a/errata/README.md b/errata/README.md index 42d1bb06..b31fc74a 100644 --- a/errata/README.md +++ b/errata/README.md @@ -12,6 +12,8 @@ > 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. +- pg. 45: Arrows should be perpendicular to the contour lines. + ## Chapter 3 - 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) @@ -23,3 +25,9 @@ ## Chapter 13 - pg. 469: Instead of `tf.keras.activations.tanh(z)` it should be `tf.keras.activations.relu(z)`. + +## Chapter 15 + +- 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: + +