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Describe the bug
In the third edition of the book, in Chapter 11 of the Max Norm Regulation, in the last paragraph, you write, 'The max_norm() function has an axis argument that defaults to 0.' A Dense layer usually has weights of shape [number of inputs, number of neurons], so using axis=0 means that the max-norm constraint will apply independently to each neuron’s Weight vector ", which looks similar to 'https://www.tensorflow.org/api_docs/python/tf/keras/constraints/MaxNorm'. The explanation given is different, axis=0 represents the input dimension
The text was updated successfully, but these errors were encountered:
chaoalexander
changed the title
[BUG]
[BUG]Chapter 11 of the book contains incorrect content
May 15, 2023
Describe the bug
In the third edition of the book, in Chapter 11 of the Max Norm Regulation, in the last paragraph, you write, 'The max_norm() function has an axis argument that defaults to 0.' A Dense layer usually has weights of shape [number of inputs, number of neurons], so using axis=0 means that the max-norm constraint will apply independently to each neuron’s Weight vector ", which looks similar to 'https://www.tensorflow.org/api_docs/python/tf/keras/constraints/MaxNorm'. The explanation given is different, axis=0 represents the input dimension
The text was updated successfully, but these errors were encountered: