Lesson 9 in-class

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

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I’d like to know this too.

I think this is the DeViSE paper. Not spam!

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I think it hasn’t been added to platform.ai yet, Jeremy will add it after class

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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).

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How will you encode the word vector if it is compound word like “jumbo jet”?

got it, thanks!

This might help!

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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 …

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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?

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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?

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Where is imagenet_process-full-Copy1.ipynb?

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Yes,
Please @jeremy, where could we get the “Imagenet Processing in parallel” notebooks ?
It is not in the https://github.com/jph00/part2 link.