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Applicable AI (beyond BERT)
Jiwon Kim AI Lunch ,DPS Week 9
Now I know
BERT can be
used...
● Sentiment(emotion)
classification
● Question-Answering
● Chatbot
● Sentence auto-completion
WAS that all?
Let’s look on AI
depends on task!
Image
- Distracted driver
detection
- Recognising Shot Types
with ResNets
- Detects famous
landmarks in images and
returns a witty caption.
Tasks depends on data type you have
Text
- detect language of
handwritten document
based on images
- A text classifier on legal
judgments
Audio
➔ Note: reflected presenter’s taste
- Urban sound detector
- Find out music
composer using image
Image
● C0 Safe Driving
● C1 Texting - Right
● C2 Talking On The Phone -
Right
● C3 Texting- left
● C4 Talking on the Phone- left
● C5 Operating The Radio
● C6 Drinking
● C7 Reaching Behind
● C8 Hair And Makeup
● C9 Talking To Passenger
Distracted
driver detection
Dataset - StateFarm
Dataset - StateFarm
Dataset - StateFarm
Gold medal - Kaggle
VGG16
Recognising
Shot Types with
ResNets
Link - Github
AI for Filming
Detects famous
landmarks in
images and
returns a witty
caption.
CODE
wittytourist
Text
Detect language
of handwritten
document based
on images
● Bangla
● Persian
● Oriya
● Kannada
Dataset paper
This task has a API from google (also other big company)
means..
So general and common task, so that a corporation made it and release it
Ready at hand (you don’t have to dirt your hand)
This task is not problem anymore (Saving resource and time could be industrial problem )
Someone else also using this to their own business
But, yes again, you can target specific language
Google Cloud API
Github - Code
A text classifier
on legal
judgments
Dataset - singapore Law watch
Model - ULMFiT
Audio
Urban Sound
Detector
● Air_conditioner
● Car_horn
● Children_playing
● Dog_bark
● drilling
● Enginge_idling
● Gun_shot
● Jackhammer
● Siren
● street_music
Dataset - Center for Urban Science and Progress(NYC)
Code - Github, Paper acc: 79% (with augmented audio set data)
Find out music
composer using
image
● ['albéniz', 'alkan', 'ambroise', 'arensky', 'arndt', 'bacewitz', 'bach', 'balakirew',
'barber', 'bartelet', 'bartok', 'becker', 'beethoven', 'bellini', 'berlin', 'bernstein', 'bizet',
'bloch', 'boccherini', 'borodin', 'botsford', 'brahms', 'bruch', 'burgmuller', 'busoni',
'busser', 'buxetehude', 'byrd', 'chabrier', 'chaminade', 'chasins', 'chopin', 'clarke',
'clementi', 'coates', 'coleridge-taylor', 'cons', 'copland', 'couperin', 'cramer', 'czerny',
'czibulka', 'debussy', 'diabelli', 'durand-e', 'durand-m-a', 'dussek', 'dvorak', 'elgar',
'ewazen', 'faure', 'field', 'finck', 'flotow', 'franck', 'friedman', 'fucick', 'ganne',
'german', 'gershwin', 'ginastera', 'godowsky', 'gottschalk', 'grainger', 'granados',
'grieg', 'griffes', 'handel', 'haydn', 'heidrich', 'heller', 'hemery', 'herold', 'hiller', 'holst',
'holst-m', 'hummel', 'ivanovici', 'jakobowski', 'jensen', 'joplin', 'komzak', 'kuhlau',
'lange', 'laurent', 'lavallee', 'leclair', 'lecuona', 'lemire', 'liszt', 'lyssenko', 'macbeth',
'maccunn', 'mahler', 'maier', 'mehul', 'mendelssohn', 'meyerbeer', 'morel',
'moszkowski', 'mozart', 'mussorgsky', 'pachelbel', 'paganini', 'paradisi', 'peterson-
berger', 'pollen', 'poulenc', 'pridhan', 'prokofiev', 'purcell', 'rachmaninov', 'raff',
'ravel', 'reger', 'reinecke', 'resch', 'rimsky_korsakov', 'rossini', 'rothchild', 'saint-
saens', 'sarasate', 'satie', 'scarlatti', 'schoenberg', 'schubert', 'schumann', 'scriabin',
'shostakovich', 'sibelius', 'sinding', 'smetana', 'straus', 'strauss-j
Dataset -kunsderfuge
Charles Griffes - Modern Mozart - classic
Dataset -kunsderfuge
Code - github
ResNet34
It’s (y)our turn to grab some money using AI

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Applicable ai

  • 1. Applicable AI (beyond BERT) Jiwon Kim AI Lunch ,DPS Week 9
  • 2. Now I know BERT can be used... ● Sentiment(emotion) classification ● Question-Answering ● Chatbot ● Sentence auto-completion
  • 4. Let’s look on AI depends on task!
  • 5. Image - Distracted driver detection - Recognising Shot Types with ResNets - Detects famous landmarks in images and returns a witty caption. Tasks depends on data type you have Text - detect language of handwritten document based on images - A text classifier on legal judgments Audio ➔ Note: reflected presenter’s taste - Urban sound detector - Find out music composer using image
  • 7. ● C0 Safe Driving ● C1 Texting - Right ● C2 Talking On The Phone - Right ● C3 Texting- left ● C4 Talking on the Phone- left ● C5 Operating The Radio ● C6 Drinking ● C7 Reaching Behind ● C8 Hair And Makeup ● C9 Talking To Passenger Distracted driver detection
  • 11. Gold medal - Kaggle VGG16
  • 12. Recognising Shot Types with ResNets Link - Github AI for Filming
  • 13. Detects famous landmarks in images and returns a witty caption. CODE
  • 15.
  • 16. Text
  • 17. Detect language of handwritten document based on images ● Bangla ● Persian ● Oriya ● Kannada
  • 19. This task has a API from google (also other big company) means.. So general and common task, so that a corporation made it and release it Ready at hand (you don’t have to dirt your hand) This task is not problem anymore (Saving resource and time could be industrial problem ) Someone else also using this to their own business But, yes again, you can target specific language Google Cloud API Github - Code
  • 20. A text classifier on legal judgments
  • 21. Dataset - singapore Law watch
  • 23. Audio
  • 24. Urban Sound Detector ● Air_conditioner ● Car_horn ● Children_playing ● Dog_bark ● drilling ● Enginge_idling ● Gun_shot ● Jackhammer ● Siren ● street_music
  • 25. Dataset - Center for Urban Science and Progress(NYC)
  • 26. Code - Github, Paper acc: 79% (with augmented audio set data)
  • 27. Find out music composer using image
  • 28. ● ['albéniz', 'alkan', 'ambroise', 'arensky', 'arndt', 'bacewitz', 'bach', 'balakirew', 'barber', 'bartelet', 'bartok', 'becker', 'beethoven', 'bellini', 'berlin', 'bernstein', 'bizet', 'bloch', 'boccherini', 'borodin', 'botsford', 'brahms', 'bruch', 'burgmuller', 'busoni', 'busser', 'buxetehude', 'byrd', 'chabrier', 'chaminade', 'chasins', 'chopin', 'clarke', 'clementi', 'coates', 'coleridge-taylor', 'cons', 'copland', 'couperin', 'cramer', 'czerny', 'czibulka', 'debussy', 'diabelli', 'durand-e', 'durand-m-a', 'dussek', 'dvorak', 'elgar', 'ewazen', 'faure', 'field', 'finck', 'flotow', 'franck', 'friedman', 'fucick', 'ganne', 'german', 'gershwin', 'ginastera', 'godowsky', 'gottschalk', 'grainger', 'granados', 'grieg', 'griffes', 'handel', 'haydn', 'heidrich', 'heller', 'hemery', 'herold', 'hiller', 'holst', 'holst-m', 'hummel', 'ivanovici', 'jakobowski', 'jensen', 'joplin', 'komzak', 'kuhlau', 'lange', 'laurent', 'lavallee', 'leclair', 'lecuona', 'lemire', 'liszt', 'lyssenko', 'macbeth', 'maccunn', 'mahler', 'maier', 'mehul', 'mendelssohn', 'meyerbeer', 'morel', 'moszkowski', 'mozart', 'mussorgsky', 'pachelbel', 'paganini', 'paradisi', 'peterson- berger', 'pollen', 'poulenc', 'pridhan', 'prokofiev', 'purcell', 'rachmaninov', 'raff', 'ravel', 'reger', 'reinecke', 'resch', 'rimsky_korsakov', 'rossini', 'rothchild', 'saint- saens', 'sarasate', 'satie', 'scarlatti', 'schoenberg', 'schubert', 'schumann', 'scriabin', 'shostakovich', 'sibelius', 'sinding', 'smetana', 'straus', 'strauss-j
  • 29. Dataset -kunsderfuge Charles Griffes - Modern Mozart - classic
  • 32. It’s (y)our turn to grab some money using AI

Notes de l'éditeur

  1. https://github.com/rsomani95/shot-type-classifier/ Music composer : https://medium.com/@zachcaceres/deep-learning-can-we-use-computer-vision-to-predict-the-composer-of-classical-music-464dd5516996