JS - IA

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Palestra feita para o FEMUG Recife falando sobre o estado da arte em machine learning e IA e como Javascript está inserido nesse contexto.

Technologie

JS + IA
JOÃO GABRIEL LIMA - @JGABRIEL_LIMA
WWW.LINKEDIN.COM/IN/JOAOGABRIELLIMA/

QUEM SOU?
➤ CTO na Epitrack
➤ Professor
➤ Phd candidate, pesquisador em
IA, DataMining e BigData

A CAPACIDADE DE UMA
MÁQUINA SIMULAR O
RACIOCÍNIO HUMANO

APRENDER PADRÕES E
SER CAPAZ DE
REPRODUZI-LOS

1. SUPERVISIONADA
2. NÃO SUPERVISIONADA
3. POR REFORÇO

Algoritmos que tentam modelar
abstrações de alto nível de dados
usando um grafo profundo com várias
camadas de processamento, compostas
de várias transformações lineares e não
lineares
DEEP LEARNING

https://github.com/jcjohnson/neural-style

https://github.com/richzhang/colorization

https://itunes.apple.com/us/app/colorize-automatically-colorize-b-w-photos/

http://facemem.csail.mit.edu/
http://people.csail.mit.edu/khosla/papers/iccv2013_khosla.pdf

Diversas empresas investindo em suas poderosas
clouds
• Watson
• Wit.ai
• Cloud Machine Learning Engine
• Cloud Vision API
• Amazon Machine Learning
• api.ai
• clarifai
• openml

2017 …
AS EMPRESAS TERÃO QUE
SE REINVENTAR

https://github.com/rcmalli/keras-mobilenet

https://developer.apple.com/machine-learning/

Run large CNNs
• Keras-JS
• MXNetJS
• CaffeJS
Train and Run CNNs
• ConvNetJS
Train and Run LSTMs
• Brain.js
• Synaptic.js
Train and Run NNs
• Mind.js
• DN2A

https://transcranial.github.io/keras-js/#/squeezenet-v1.1
KERAS - JS

https://synaptic.juancazala.com/#/
SYNAPTIC.JS

http://cs.stanford.edu/people/karpathy/convnetjs/

https://github.com/PAIR-code/deeplearnjs

https://github.com/kmather73/NotHotdog-Classifier
https://www.youtube.com/watch?v=ACmydtFDTGs

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JS - IA

1. JS + IA JOÃO GABRIEL LIMA - @JGABRIEL_LIMA WWW.LINKEDIN.COM/IN/JOAOGABRIELLIMA/

2. QUEM SOU? ➤ CTO na Epitrack ➤ Professor ➤ Phd candidate, pesquisador em IA, DataMining e BigData

3. Paraense!

4. VAMOS FALAR DE IA…

6. A CAPACIDADE DE UMA MÁQUINA SIMULAR O RACIOCÍNIO HUMANO

7. APRENDER PADRÕES E SER CAPAZ DE REPRODUZI-LOS

8. APRENDIZAGEM DE MÁQUINA!

9. 1. SUPERVISIONADA 2. NÃO SUPERVISIONADA 3. POR REFORÇO

10.

11. HOJE VAMOS FOCAR EM REDES NEURAIS…

12.

13. Algoritmos que tentam modelar abstrações de alto nível de dados usando um grafo profundo com várias camadas de processamento, compostas de várias transformações lineares e não lineares DEEP LEARNING

14.

15.

16.

17.

18. ESTADO DA ARTE

19.

20. https://github.com/jcjohnson/neural-style

21. https://prisma-ai.com/

22.

23.

24. https://github.com/richzhang/colorization

25. https://itunes.apple.com/us/app/colorize-automatically-colorize-b-w-photos/

26.

27. http://facemem.csail.mit.edu/ http://people.csail.mit.edu/khosla/papers/iccv2013_khosla.pdf

28.

29. http://memorability.csail.mit.edu/

30.

31.

32. Quem gosta de GOT, aqui?

33.

34. https://arxiv.org/pdf/1705.07962.pdf

35. https://uizard.io/

36. https://arxiv.org/pdf/1611.01989.pdf

37. O QUE ACHOU DISSO?

38. Diversas empresas investindo em suas poderosas clouds • Watson • Wit.ai • Cloud Machine Learning Engine • Cloud Vision API • Amazon Machine Learning • api.ai • clarifai • openml

39. Microsoft Cognitive Services

40. 2017 … AS EMPRESAS TERÃO QUE SE REINVENTAR

41. SMALLER CNN

42. https://arxiv.org/pdf/1602.07360.pdf

43. https://github.com/DeepScale/SqueezeNet

44. https://arxiv.org/pdf/1704.04861.pdf

45. https://github.com/rcmalli/keras-mobilenet

46. https://www.tensorflow.org/mobile/

47. https://developer.apple.com/machine-learning/

48.

49. E ONDE ENTRA O JAVASCRIPT ?

50. Run large CNNs • Keras-JS • MXNetJS • CaffeJS Train and Run CNNs • ConvNetJS Train and Run LSTMs • Brain.js • Synaptic.js Train and Run NNs • Mind.js • DN2A

51. https://transcranial.github.io/keras-js/#/squeezenet-v1.1 KERAS - JS

52. https://github.com/chaosmail/caffejs

53. https://synaptic.juancazala.com/#/ SYNAPTIC.JS

54. http://cs.stanford.edu/people/karpathy/convnetjs/

55. https://github.com/PAIR-code/deeplearnjs

56. https://github.com/kmather73/NotHotdog-Classifier https://www.youtube.com/watch?v=ACmydtFDTGs

57. TUDO ISSO… ESTÁ AO ALCANCE DE TODOS!

58. OBRIGADO!

59. JS + IA JOÃO GABRIEL LIMA - @JGABRIEL_LIMA WWW.LINKEDIN.COM/IN/JOAOGABRIELLIMA/