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Hi @whitead, thanks for writing this book. It's neatly laid out and easy for beginners like me to understand. I hope you don't mind that I took LiveComSJ's tweet asking for feedback seriously.
Overview
Deep learning is specifically about connecting two types of data with a neural network function, which is differentiable and able to approximate any function. The classic example is connectingfunction and structure in molecules.
Suggestion: The classic example is connecting molecular structure to its function.
Reason: "function" just meant a totally different thing in the sentence before. Reading "The classic example is connecting function" without the molecular context meant that I first thought of "connecting function" as a noun, i.e., a mapping from one space to another.
it’s ability to generate new data.
its, no apostrosphe
One example that sets deep learning apart from machine learning is in feature engineering.
I think many people would argue that deep learning is a form of machine learning. If I understand correctly, the next part of the paragraph argues that deep learning does not need feature engineering? Perhaps "One advantage that sets deep learning apart from other machine learning techniques is that it does not require feature engineering"?
Previously training and using models in machine learning was a tedious process and required deriving equations for each model change.
Comma after previously?
Deep learning is always a little tied-up in the implementation details. Thus, language choice can be a part of the learning process. In this book, we use Jax, Tensorflow, Keras, and scikit-learn for different purposes.
It was a little odd for me that you jumped straight to libraries instead of saying Python first, considering that the section is titled "Language choice". Throughout this section you also refer to them all as languages. I would personally consider all of those to be "frameworks" rather than languages.
Stackoverflow
Stack Overflow?
The text was updated successfully, but these errors were encountered:
Hi @whitead, thanks for writing this book. It's neatly laid out and easy for beginners like me to understand. I hope you don't mind that I took LiveComSJ's tweet asking for feedback seriously.
Overview
Suggestion: The classic example is connecting molecular structure to its function.
Reason: "function" just meant a totally different thing in the sentence before. Reading "The classic example is connecting function" without the molecular context meant that I first thought of "connecting function" as a noun, i.e., a mapping from one space to another.
its, no apostrosphe
I think many people would argue that deep learning is a form of machine learning. If I understand correctly, the next part of the paragraph argues that deep learning does not need feature engineering? Perhaps "One advantage that sets deep learning apart from other machine learning techniques is that it does not require feature engineering"?
Comma after previously?
It was a little odd for me that you jumped straight to libraries instead of saying Python first, considering that the section is titled "Language choice". Throughout this section you also refer to them all as languages. I would personally consider all of those to be "frameworks" rather than languages.
Stack Overflow?
The text was updated successfully, but these errors were encountered: