Name: 事例で見る機械学習API（Google Cloud Next '17 (Machine Learning APIs by Example (Google Cloud Next '17))
Uploaded: 2021-01-14T06:50:36.000Z
Duration: 38 min 36 s
Description: VoiceTubeの動画で発音を聞きながら英語表現を覚えよう！学べる英語：

Today we're going to talk about machine learning APIs

access pre-trained machine learning models

I'm a developer advocate on the Google Cloud Platform

team, which basically means I get to help build demos, give

talks about them, and bring product feedback back

about what machine learning is at a high level.

is teaching computers to recognize patterns

So it's really easy for a child to recognize

the difference between a picture of a cat and a dog,

but it's much more difficult to teach computers

So we could write rules to look for specific things,

but we can almost always find a condition that's

write code that finds these rules for us and improves

over time through examples and experience.

identifying a picture as either a picture of a cat or a dog.

And we can think of the input to this network

Maybe it's the shape of the ear or the hair.

Let's take a step back from this for a moment

and let's try some human-powered image detection,

We'll take this picture of an apple and an orange.

What are some features that you might look for you?

SARA ROBINSON: Texture-- lots of good ones.

would happen if we had black and white images?

Then we might have to start all over again.

But then what happens if we add a third fruit?

If we add a mango, we have to start all over again as well.

But these pictures are all pretty similar, right?

So what would happen if we had pictures of two things that

A dog and a mop have pretty much nothing in common

So what we have here is pictures of sheep dogs and mops.

And it's actually kind of hard to tell the difference, right?

If we were going to write code that identified these two,

And then what happens if we have photos of everything?

to identify each little thing that we're trying to look for.

And in addition to photos, we could have many other types

lots of different types of data we'd be dealing with.

us make sense of all of this unstructured data.

And Google Cloud Platform has several products

to help you benefit from machine learning.

On the left-hand side here, you can use your own data

to build and train your own machine learning model.

So we have TensorFlow and Cloud Machine Learning Engine for you

This is what I like to call friendly machine learning.

These are machine learning APIs that give you

access to a pre-trained machine learning model with one

You get some data back from this pre-trained model.

And you don't have to worry about building and training

your own model or anything that's going on under the hood.

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事例で見る機械学習API（Google Cloud Next '17 (Machine Learning APIs by Example (Google Cloud Next '17))

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