Claim about the activation functions. Index 37
- Dominant language
- Jupyter Notebook
- Stars
- 30k
- Forks
- 13.1k
- PR merge metrics
- No merged PRs in 30d
Description
In the french version "Deep Learning avec Keras et TensorFlow - 2e éd. - Mise en oeuvre et cas concrets"
page 61 index number 37 below the page
You say that biological neurons seems to implement a sigmoid curve function, which has led researchers to persist in using them, and that therefore this is an example of a case where the analogy with nature may have been misleading.
However, it seems to me that this statement is inaccurate, because based on the wikipedia page https://en.wikipedia.org/wiki/Rectifier_(neural_networks)#cite_note-Hahnloser2000-1 or the abstract of the original publication https://www.nature.com/articles/35016072 ReLu also seems to have "strong biological motivations".
I don't have enough knowledge in neuroscience to know if this is a precise point on which there is not yet a consensus even though I wanted to raise the question anyway.
Contributor guide
No contributing guide indexed for this repository
Assessment
This issue has not been assessed yet.