Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Tweaking tone #7

Merged
merged 2 commits into from Feb 19, 2019
Merged

Tweaking tone #7

merged 2 commits into from Feb 19, 2019

Conversation

shancarter
Copy link
Contributor

Some minor text modifications in response to (editors comments)[https://github.com//issues/2#issuecomment-464901616]

Copy link
Member

@colah colah left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Left a small comment, but LGTM.

@@ -282,30 +279,30 @@ <h2 id="aggregating-multiple-images">Aggregating Multiple Images</h2>

<p>This atlas can can be a bit overwhelming at first glance -- there’s a lot going on! This diversity is a reflection of the variety of abstractions and concepts the model has developed. Let’s take a tour to examine this atlas in more depth.

<p>If we look at the top-left of the atlas we see what look like animal heads. There is some differentiation between different types of animals, but it seems to be more a collection of elements of generic mammals -- eyes, fur, noses -- rather than a collection of different classes of animals. We've also added labels that show which class each averaged activation most contributes to. Because this is still early in the network many of the labels won't be very precise.
<p>If we look at the top-left of the atlas we see what look like animal heads. There is some differentiation between different types of animals, but it seems to be more a collection of elements of generic mammals -- eyes, fur, noses -- rather than a collection of different classes of animals. We've also added labels that show which class each averaged activation most contributes to. Please note, in some areas of a layer this early in the network these attribution labels can be somewhat chaotic.
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

might also add something about attribution vectors being small?

Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

tending to be small at early layers, since they don't have a consistent effect on the output.

@shancarter shancarter merged commit d69f4ea into master Feb 19, 2019
@shancarter shancarter deleted the edits branch February 19, 2019 22:38
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

None yet

2 participants