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[BOOK] Introduction to machine learning

Posted 3 years ago
POSTED BY: Etienne Bernard
5 Replies

Hi Etienne, thank you for the book. I did learn a lot about neural Networks with Mathematica. Most of the code is running perfectly - it's really fun. Only a few lines and examples are not working. For example I can not get the decoder of the gpt2 network working.

Is there some Errata-Web-Page were I can find the corrections?

POSTED BY: Thomas Czinkota
Posted 3 years ago

Thank you, Etienne. This is just the book I’ve been looking for. I have it on order. Thank you for your contribution to Mathematica and best wishes for NuMind.

Kind regards, David

POSTED BY: David Keith
Posted 3 years ago

I have a question about the book:

In the sample chapter, most of the material related to the use of built-in functions. Although the mushroom classification example does modify one layer of a supplied network.

Is there also material on the design of neural nets from scratch, including architecture and the rationale for the use of particular layer types?

POSTED BY: David Keith

Hi David, definitely, chapter 11 "Deep Learning Methods" (108 pages...) does exactly that. You can check this PDF sample where the beginning of chapter 11 is present https://t.co/pbYh0wJH0S.

Thanks, Etienne

POSTED BY: Etienne Bernard

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