Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
YGLF_2019.pdf
Search
Asim Hussain
April 05, 2019
Technology
1
150
YGLF_2019.pdf
Asim Hussain
April 05, 2019
Tweet
Share
More Decks by Asim Hussain
See All by Asim Hussain
JavaScript Saves The World - DotJS 2019
jawache
0
900
Saving the world, one line at a time [CodeLeaders Australia 2019]
jawache
0
79
AI + JavaScript Rocks @ GDGDevFest UA 2018
jawache
0
52
How to hack a web app? WebConfAsia 2018
jawache
0
93
How to scale an SPA? @ AmsterdamJS 2018
jawache
0
33
How to hack an Angular app? - ngConf 2018
jawache
0
980
Getting started with node.js @ AngleBrackets 2018
jawache
1
180
How to hack an Angular app? @ ngVikings 2018
jawache
1
1.1k
How to hack a python app? @ PyCaribbean 2018
jawache
0
180
Other Decks in Technology
See All in Technology
AWSを利用する上で知っておきたい名前解決のはなし(10分版)
nagisa53
10
3.1k
AWSで始める実践Dagster入門
kitagawaz
1
610
KotlinConf 2025_イベントレポート
sony
1
130
Firestore → Spanner 移行 を成功させた段階的移行プロセス
athug
1
460
複数サービスを支えるマルチテナント型Batch MLプラットフォーム
lycorptech_jp
PRO
0
320
企業の生成AIガバナンスにおけるエージェントとセキュリティ
lycorptech_jp
PRO
2
160
EncryptedSharedPreferences が deprecated になっちゃった!どうしよう! / Oh no! EncryptedSharedPreferences has been deprecated! What should I do?
yanzm
0
240
要件定義・デザインフェーズでもAIを活用して、コミュニケーションの密度を高める
kazukihayase
0
110
「全員プロダクトマネージャー」を実現する、Cursorによる仕様検討の自動運転
applism118
21
10k
生成AIでセキュリティ運用を効率化する話
sakaitakeshi
0
650
「どこから読む?」コードとカルチャーに最速で馴染むための実践ガイド
zozotech
PRO
0
300
バイブスに「型」を!Kent Beckに学ぶ、AI時代のテスト駆動開発
amixedcolor
2
540
Featured
See All Featured
Practical Orchestrator
shlominoach
190
11k
Imperfection Machines: The Place of Print at Facebook
scottboms
268
13k
The Pragmatic Product Professional
lauravandoore
36
6.9k
YesSQL, Process and Tooling at Scale
rocio
173
14k
Site-Speed That Sticks
csswizardry
10
810
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
139
34k
Fight the Zombie Pattern Library - RWD Summit 2016
marcelosomers
234
17k
How STYLIGHT went responsive
nonsquared
100
5.8k
Into the Great Unknown - MozCon
thekraken
40
2k
GraphQLの誤解/rethinking-graphql
sonatard
72
11k
The Myth of the Modular Monolith - Day 2 Keynote - Rails World 2024
eileencodes
26
3k
Art, The Web, and Tiny UX
lynnandtonic
303
21k
Transcript
The Future of Machine Learning & JavaScript @jawache YGLF 2019
Asim Hussain @jawache codecraft.tv microsoft.com
https://aka.ms/jawache-cda @jawache
@jawache https://www.palinternship.com/
@jawache
Asim Web Development Machine Learning This is @EleanorHaproff's slide
None
@jawache
TheMojifier™ @jawache
None
@jawache themojifier.com
None
How to Calculate Emotion? @jawache
(1) Detect Facial Features @jawache
https://towardsdatascience.com/facial-keypoints-detection-deep-learning-737547f73515
(2) Use a Neural Network @jawache
Neural Networks Axon Dendrites Axons Body @jawache
1 23 8.6 -0.5 2.1 Activation Function @jawache Neural Networks
1 23 8.6 -0.5 2.1 x x activation(...) = -11.5
= 18.06 7.01 !-> !-> } @jawache Neural Networks
Output 0 0 1 Input @jawache Neural Networks
1.1 4.2 0.3 4 12 93 3 @jawache Neural Networks
1.1 4.2 0.3 4 12 93 @jawache 8 - 8
= -5 3 Neural Networks
1.1 4.2 0.3 4 12 93 @jawache - 8 =
-5 3 8 Neural Networks
0.1 9.2 0.2 4 12 93 @jawache 8 8 Neural
Networks
@jawache https://azure.microsoft.com/services/cognitive-services/face/
https:!//<region>.api.cognitive.microsoft.com/face/v1.0/detect { "url": "<path-to-image>" } @jawache
@jawache
Summary @jawache
• Neural Networks are incredibly powerful • Conceptually, they are
simple to understand @jawache Summary
TensorFlow, MobileNet & I'm fine @jawache
@jawache
@jawache
@jawache
TensorFlow.js @jawache
TensorFlow.js Train models Load pre-trained models @jawache
https://github.com/tensorflow/tfjs-models @jawache MobileNet
https://azure.microsoft.com/services/cognitive-services/computer-vision/ @jawache
https://codepen.io/sdras/full/jawPGa/ @jawache
@jawache https://twitter.com/ollee/status/930303340516216832
@jawache https://twitter.com/FrontendNE/status/930120267992616960
@jawache https://twitter.com/chrispiecom/status/930407801402347520
Summary @jawache
• TensorFlow.js doesn't have any dependancies • MobileNet is a
simple way to analyse images • Azure Computer Vision API ❤ @jawache Summary
Image2Image @jawache
DEMO @jawache https://zaidalyafeai.github.io/pix2pix/cats.html
@jawache Generator Discriminator ✅ ❌
@jawache Generator Discriminator ✅ ❌
@jawache Generator Discriminator ✅ ✅
@jawache
@jawache
@jawache
@jawache https://github.com/NVIDIA/vid2vid
@jawache https://github.com/NVIDIA/vid2vid
@jawache https://github.com/NVIDIA/vid2vid
@jawache https://github.com/hanzhanggit/StackGAN
Summary @jawache
• GANs learn to generate new images • They take
a lot of compute to train • But the generator model can be run in the browser @jawache Summary
@jawache aka.ms/mojifier
Asim Hussain @jawache codecraft.tv microsoft.com