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
Intro to ConvNets: The backbone of modern compu...
Search
Tryolabs
April 10, 2019
Technology
0
2.1k
Intro to ConvNets: The backbone of modern computer vision
Tryolabs
April 10, 2019
Tweet
Share
More Decks by Tryolabs
See All by Tryolabs
An Introduction to Machine Learning and How to Teach Machines to See
tryolabs
0
2k
Tryolabs Workshop: Object Detection with Deep Learning
tryolabs
0
420
PyImageConf Workshop: Object Detection with Deep Learning
tryolabs
0
260
Introduction to Object Detection - PyCon APAC 2018
tryolabs
0
2.5k
Building an Object Detection toolkit with TensorFlow (ODSC West 2017)
tryolabs
1
2.3k
Building an Object Detection toolkit with TensorFlow (PyLadies Meetup)
tryolabs
1
410
Building an Object Detection toolkit with TensorFlow (ODSC Europe 2017)
tryolabs
1
210
Tryolabs Working Trip NYC 2017 in pictures.
tryolabs
0
1.5k
Machine Learning 101 - Tryolabs
tryolabs
0
210
Other Decks in Technology
See All in Technology
KubeCon + CloudNativeCon Japan 2025 Recap
ren510dev
1
390
PO初心者が考えた ”POらしさ”
nb_rady
0
210
american aa airlines®️ USA Contact Numbers: Complete 2025 Support Guide
aaguide
0
250
LangChain Interrupt & LangChain Ambassadors meetingレポート
os1ma
2
320
OPENLOGI Company Profile for engineer
hr01
1
34k
B2C&B2B&社内向けサービスを抱える開発組織におけるサービス価値を最大化するイニシアチブ管理
belongadmin
2
7.2k
Delegating the chores of authenticating users to Keycloak
ahus1
0
140
怖くない!はじめてのClaude Code
shinya337
0
400
freeeのアクセシビリティの現在地 / freee's Current Position on Accessibility
ymrl
2
210
LangSmith×Webhook連携で実現するプロンプトドリブンCI/CD
sergicalsix
1
240
対話型音声AIアプリケーションの信頼性向上の取り組み
ivry_presentationmaterials
1
120
タイミーのデータモデリング事例と今後のチャレンジ
ttccddtoki
6
2.4k
Featured
See All Featured
Art, The Web, and Tiny UX
lynnandtonic
299
21k
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
panda_program
107
19k
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
29
9.6k
Designing for Performance
lara
610
69k
The Cult of Friendly URLs
andyhume
79
6.5k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
357
30k
Measuring & Analyzing Core Web Vitals
bluesmoon
7
510
10 Git Anti Patterns You Should be Aware of
lemiorhan
PRO
656
60k
GraphQLの誤解/rethinking-graphql
sonatard
71
11k
How To Stay Up To Date on Web Technology
chriscoyier
790
250k
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
138
34k
Unsuck your backbone
ammeep
671
58k
Transcript
The backbone of modern computer vision Intro to ConvNets
2
3 =
4
Convolutional Network
6 ⊙ = Σ input output kernel
7 input output ⊙ = kernel Σ
8 input output = kernel Σ ⊙
9 input output ⊙ = kernel Σ
10 kernel input output
11
12 Optimization Label: Bird ConvNet Loss Function Prediction: Cat
13 Optimization ConvNet Prediction: Bird Loss Function Label: Bird
14 Non-linear function from: wikipedia.org Sigmoid Function
15 Pooling operation from: computersciencewiki.org
16
17 Conv layer Non-linear function Convolution & Non-linear function &
Pooling Pooling Conv layer Non-linear function Pooling Conv layer Non-linear function
18 AlexNet (2012)
Thanks!