Name: Colabを最大限に活用する (TF Dev Summit '20) (Making the most of Colab (TF Dev Summit '20))
Uploaded: 2021-01-14T10:05:11.000Z
Duration: 6 min 44 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：

My name is Tim, and I'm the product manager for Colab.

Colab allows you to write and execute arbitrary Python

It's integrated with your Google account, which

means if you're signed into Chrome or signed into Gmail,

And it's integrated with Google Drive, which

means that when you create a Jupyter Notebook in Colab,

it's automatically saved to your drive account.

Colab started in 2012 as an internal tool

In 2014, we started using it for our internal machine learning

to the same great tool that Googlers were

When you connect with a virtual machine in a Colab notebook,

your Python environment is already set up for you.

The latest version of CUDA is already installed for you.

These virtual machines have hundreds of popular Python

TensorFlow, TensorBoard, TF privacy, TF data sets,

And those are there to ensure sustainability and reduce

Without any further ado, here are my top 10 Colab tricks

Always specify your TensorFlow version in Colab.

In Colab, when you import TensorFlow, by default today

You can start using TensorFlow 2 in Colab

today by specifying your TensorFlow version

If you have old Colab notebooks that use TensorFlow 1

sure to specify TF 1.x in those notebooks.

The bottom line-- always specify your TensorFlow version

Colab output cells can render essentially arbitrary HTML.

And the TensorBoard team has taken advantage of this

to allow you to use TensorBoard right in line with Colab.

It works great, and I highly recommend it.

Even though TFLite is for on-device machine learning,

you can still train your TFLite models in the cloud in Colab.

And in fact, that's a popular way to use TFLite.

If you want to feel the raw power of TPUs

under your fingertips, give them a whirl for free in Colab.

And with TensorFlow 2.1, TPUs have never been easier to use.

If you have your own workstation and your own GPUs perhaps

and you want to run your workload on your own hardware,

You can still actually use the Colab UI with a local runtime.

If you find yourself with Colab notebooks that have names

the Cloud scratchpad notebook might be for you.

This is a special notebook available at the URL shown here

that's not automatically saved to your drive account.

And it's really great for doing your scratch work.

Rather than calling data on external storage or runtime

when you're, for example, training your models,

first copy all your data into the Colab VM.

This can result in speed-ups even if you're only

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Colabを最大限に活用する (TF Dev Summit '20) (Making the most of Colab (TF Dev Summit '20))

access

improve

arbitrary

scratch