Thursday, 1 December 2016

You train RNNs for product text descriptions and CNNs for product images

Have you seen an improvement by co-training the models? This means, for instance, making sense of a word (e.g. a brand name) based on the contents of the product image. NV) Both text and image data have a spatial dependency. Why do you think Convolutions work better for images and RNNs for text?
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Vickie:
I am 14 days past ovulation and got a faint line with first morning urine.
(1 December 2016)

Maurice:
She wants a break :(?
(1 December 2016)

Candice:
Likelyhood that I m the father?
(1 December 2016)

Candice:
I know you can t give me a sure answer just a general likelyhood.
(1 December 2016)

Candice:
Is it more likely that after 3 years they were successful or is it more likely that I knocked her up even though I withdrew anything or at the very least very little fluid entered her?
(1 December 2016)

Candice:
Hopefully it s just coincidence because I did pull out and he was having sex w her before during and after her ovulation cycle multiple times and I was only once, I did pull out and it was 2 or 3 days before her prime fertility.
(1 December 2016)

Candice:
The scary part for me is that apparently they have been trying for 3 years and the one time I am w her she gets pregnant.
(1 December 2016)

Candice:
Meanwhile her and her husband were trying to get pregnant this entire time frequently having sex and obviously not using any form of birth control.
(1 December 2016)

Candice:
I pulled out out and ejaculated outside her, hopefully all but of not very close to all.
(1 December 2016)

Lorri:
How to sleep with your brother's friend?
(1 December 2016)

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