Name: Introduction to TensorFlow 2.0: Easier for beginners, and more powerful for experts (TF World '19)
Uploaded: 2020-03-25T03:29:40.000Z
Duration: 40 min 56 s
Description: Thousands of YouTube videos with English-Chinese subtitles! Now you can learn to understand native speakers, expand your vocabulary, and improve your pronunciation...

I'd like to introduce our first speaker, Josh Gordon, who's

Josh is going to talk about the ease of TensorFlow 2.0

styles of model building APIs complete with coding examples.

JOSHUA GORDON: So let me just unlock this laptop.

So I have only good news about TensorFlow 2.0,

And it's great both for beginners and for experts.

But maybe we can close the doors in the back.

So I'm going to get into an outline in a sec.

But one thing I wanted to mention right off the bat

is TensorFlow 2.0 has all the power of graphs that we

had in TensorFlow 1.0 except they're massively, massively,

In TensorFlow 1.0, the name "TensorFlow"-- a tensor

And in TensorFlow 1.0, you would manually define a graph.

And this felt a little bit like metaprogramming.

if you were an engineer and the challenge you faced was

However, as a developer or a student or as a researcher,

you want something that feels a lot more like Python.

And on the right, you're seeing how TensorFlow 2.0 looks.

Basically, you can think of a tensor in a very similar way

So you no longer need to use things like sessions

And it works as you would expect, which is great.

And here's some of the things I'd like to talk about.

So this is a rough schematic of how TensorFlow 2.0 looks.

And TensorFlow 2.0 is a very, very large system

It's a whole framework for doing machine learning.

And what I'd like to do here is show you a couple of the pieces

and what some of your options are to use it.

So we will start with designing models using my favorite API

And all of these are built into the same framework.

And what this means is if you're a total novice

to deep learning, you can start with something

You can call things like compile and fit.

And that is 100% valid TensorFlow 2.0 code.

It is just as fast as any other way of writing code.

And what's really important in TensorFlow 2.0 is, as helpful

to you, you can optionally scale up in complexity

And what this means is when I'm teaching this, for example,

I can start in these really simple, clear, easy ways.

And then when I want to write gradient descent from scratch,

Or write custom layers from scratch, I can do that.

So let's take a look at what some of these pieces look like.

And the reason is we have so many tutorials on it.

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Introduction to TensorFlow 2.0: Easier for beginners, and more powerful for experts (TF World '19)

awesome

basically

structure

random