retriever

If I had a golden retriever, I would teach him how to chew gum:) The list is endless.

It's a specific type of harassment, like a Labrador Retriever is a specific type of dog.

My parents have a two-year-old Golden Retriever that they've had since he was eight weeks old.

This script, borrowed from pycurl retriever-multi.py example, fetch series for several tickers at a time.

We adopted a flat-coated retriever from Kingman, AZ and he was soon diagnosed with a blown-out knee that required radical surgery.

What they should A/B test is the effectiveness between a black lab and golden retriever.

A: a golden retriever better than a black dog, but this kind of thieving still seems like such a waste of talent.

The main benefit is that we have an improvised retriever which at the moment automatically extracts media (Flash/SWF..., Videos/FLV/MP4...

For example, how many people buy a retriever or lab and train (aka, abuse) it to be aggressive towards everyone (i.e., a guard dog)?

Certainly a Golden Retriever is never a cat - about that I am not confused.

I'd love to work for a retriever or pointer.

Isn't it contextual - flat-coated retriever, well-done, but how good is it at picking one out of a pile of images of black animals, panthers, house cats?

Update: actually Google seems to understand the concept of "golden retriever", I search my photos with the word and yes, at least Google knows how golden retrievers look like.

In general, if you misclassify "dog" for a fixed architecture you will most certainly misclassify "Blenheim Spaniel" and "Flat-coated Retriever" - the two other classes are subsets of the first.

I didn't fully understand the application of it rather than some fancy cards on the search results page until yesterday when I asked Google "where did Golden retriever originate?", and Google answered "England".

It's impossible to tell from the examples given in the article, but I wouldn't be surprised if the same classifier that gets 100% on "Blenheim Spaniel" and "Flat-coated Retriever" gets less than 100% on "Dog".

I'm the Director of Technology at Refund Retriever: we've been doing this since 2006.

Refund Retriever, the company I work for, has been doing this since 2006.

Good thing I didn't waste time creating a class hierarchy rooted at Pet, because then I'd have to juggle Pet -> Dog -> {Shiba Inu, Golden Retriever, etc.} (although I'd personally implement dog breeds with new attributes on Dog, but you get the point).