Skip to content

Latest commit

 

History

History
55 lines (29 loc) · 2.4 KB

README.md

File metadata and controls

55 lines (29 loc) · 2.4 KB

Errata

Chapter 1

  • pg 10: 5th row from the bottom, x^{(i)} \epsilon \mathbb{R}^{150 x 1}, should be x_{j} \epsilon \mathbb{R}^{150 x 1}. (Was correct in the 2nd edition.)

Chapter 2

  • pg 25: the superscripts (i) in $ \Delta w_{j}=\left(1^{(i)}-(-1)^{(i)}\right) 2^{(i)}=(2) 2^{(i)}=4 $ were initially used for illustration purposes in previous editions but are not necessary and could/should be removed

  • pg. 42: It should be "eta=0.01" instead of "eta=0.1" in the sentence

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. 55 & 56: Says print('Labels counts ... in code, but "labels counts" is grammatically wrong and should be "label counts."

  • 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)

  • pg. 84: It says "XOR gate using the logical_or function from NumPy, " near the bottom, but it should be logical_xor instead of logical_or

Chapter 5

  • pg. 162. In S_i = \sum_{x in D_i} (x - m_i) (x - m_i)^{\top}, the transpose should be on the first row vector, i.e., S_i = \sum_{x in D_i} (x - m_i)^{\top} (x - m_i).

Chapter 8

  • In tokenizer, change text.lower() to text, i.e.,
emoticons = re.findall('(?::|;|=)(?:-)?(?:\)|\(|D|P)', text)

to catch emoticons such as ":-P"

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:

  • pg. 526, to be more consistent with the text and cover a more general scenario (where padding is not 'same'), the line for i in range(0, int(len(x)/s), s): in the conv1d function could be changed to for i in range(0, int((len(x_padded) - len(w_rot)) / s) + 1, s):

Chapter 18

  • pg. 682: in "Episode 2", there are some wrong index values for G. The subscript of G should match the value of t. E.g., where t=1, it should be G1, not G0.
  • pg. 713: Not a code error, but the line self.enf = env could be changed to self.env = env to look more consistent