TF Lite training - are you interested?

[Khanh LeViet]

Hi Mobile ML Working Group members,

tl;dr: Please sign up here to join TF Lite training in June if you're interested!

I will be joining Sayak and Margaret to host two TF Lite training for the community next month. We already invited the ML GDEs and I'd like to also extend an invitation to this group because I think many of this group members might be interested as well.

Here is the schedule:

TFLite Session 1 APAC/EMEA	Wed 6/17	1:00am - 2:30am (PST)
TFLite Session 1 NA/LATAM	Wed 6/17	4:30pm - 6:00pm (PST)
TFLite Session 2 APAC/EMEA	Wed 6/24	1:00am - 2:30am (PST)
TFLite Session 2 NA/LATAM	Wed 6/24	4:30pm - 6:00pm (PST)

And here is the agenda. I'll cover the TF Lite "theory", then Margaret and Sayak will share about the TF Lite projects that they've worked on :)

Day 1: Getting started with on-device ML

• Introduction to TF Lite and on-device machine learning

• Demo: Build an Android app to recognize hand-written digits using MNIST dataset

• How to convert a TF model to TF Lite

• Leverage hardware accelerators to speed up model inference

• Optimize TF Lite models with quantization and pruning

• Create TF Lite models easily with TF Lite Model Maker

• Brief introduction to other Google products relevant to on-device ML: Coral, ML Kit, Cloud AutoML Edge

Day 2: Advanced TensorFlow Lite

• Choose the mobile optimized architecture for your use case

• Quantization: which technique should I use?

• The benefits of pruning

• Combining quantization and delegates for faster inference

• Benchmarking and profiling model inference

• Leveraging Firebase for better model deployment

• Model metadata for easy model sharing and integration to mobile apps

If you are interested in joining the training, please sign up using this form. We'll send you calendar invites. There are other TF product training listed in the form, so feel free to sign up for other training as well.

Cheers,

Khanh

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Le Viet Gia Khanh (カン)

TensorFlow Developer Advocate

mail: khan...@google.com

tel: +81 3-6384-6867 

Shibuya Stream 

3-21-3 Shibuya, Shibuya-ku, Tokyo

150-0002, Japan

[Ali Mustufa Shaikh]

Hello,

Thanks for sharing, I have filled the form and super excited for this.

Regards,

Ali Mustufa Shaikh.

Google Certified Educator Level 1 & Level 2 | Intel Software Innovator | Ambassador IEEE Collabratec® | Microsoft Student Partners 

  

P Please don't print this e-mail unless you really need to.

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[Dhaval Sodha Parmar]

Thank you Khanh for sharing, super excited.

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[Sayak Paul]

Adding in @Khanh LeViet @Marcus Chang 

Sayak Paul | sayak.dev

On Thu, Sep 17, 2020 at 8:48 PM mukesh works <mukesh...@gmail.com> wrote:

Hi,

Is the recording available on Youtube or any platform?

Thank you

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[Soonson Kwon]

Below is the information +Biswajeet Mallik shared as part of TF community training. :-)

Topic	Slides	Recordings
TF.js	Link	Link
TF Lite	Link	NA/LATAM session - Link APAC/EMEA session - Link
TF Hub	Link	Link
TFX Session 1 - TFX Getting started Session 2 - Cloud AI Pipelines	Session 1 Slides Session 2 Slides	Session 1 Recording Session 2 Recording

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[Khanh LeViet]

Hi Mukesh,

The recordings are here:

• Getting Started session
• Advanced session