Right, but are there other values that could be? Like, is there a sensible way you could have a 1/3 stride? I’m not sure what it’s a half of, if that makes sense.
Is the intuition here that the input image is not the best location to perform our convs?
@rachel Hi, where can we find the notebook that Jeremy is showing? the imagenet processing in parallel notebook
I’d like to know this too.
I think this is the DeViSE paper. Not spam!
I think it hasn’t been added to platform.ai yet, Jeremy will add it after class
I tried asking for the ImageNet dataset about a month ago. No response.
Also, they don’t let you use public email services either (gmail, hotmail, etc.) in the request form (so they say).
How will you encode the word vector if it is compound word like “jumbo jet”?
got it, thanks!
This might help!
As a different way of encoding labels is there some way to label heirarchical structure?
@mgarrus wow… long answer. thanks. I’ll check it out.
Can we use Doc2Vec to transform phrases to vectors?
Anything can be a vector these days …
How could you get the relation between a pug and a dog and the photo of a pug and its relation to the bigger dog category?
When resizing what if we lose some pixels?
Why do we want to randomize the filenames? doesn’t keras ImageDataGenerator. flow_from_directory shuffle the data for us if we want it to?
Where is imagenet_process-full-Copy1.ipynb?
Yes,
Please @jeremy, where could we get the “Imagenet Processing in parallel” notebooks ?
It is not in the https://github.com/jph00/part2 link.