DEEP LEARNING

ARTIFICIAL INTELLIGENCE

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xergioalex

Sergio A. Florez

TECH LEAD && FULL STACK DEVELOPER

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ARTIFICIAL INTELLIGENCE

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WEAK AI

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STRONG AI

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SUPER AI

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SINGULARITY AI

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BIASED ALGORITHMS

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"AI is the new electricity"

Andrew Ng

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MACHINE LEARNING

Field of A.I focused on systems that can learn autonomously.

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Learning in this context means finding complex patterns in millions of data

 

SUPERVISED LEARNING

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Allows to make future predictions based on behaviors or characteristics that have been seen in the data already stored

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1

CAT

0

NON-CAT

?

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EXAMPLE OF SUPERVISED LEARNING
K-NN

UNSUPERVISED LEARNING

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Use historical data that are not labeled The purpose is to explore them to find the structure or the way to organize them.

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?

GATO

?

?

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EXAMPLE OF UNSUPERVISED LEARNING
K-MEANS

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DATA MINING WITH ORANGE

NEURONAL NETWORKS

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They are the basis of all AI. They work like the neurons of our brain at least at the conceptual level.

PERCEPTRON

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PREDICTIONS

(Markov chains)

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DEEP LEARNING

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MATEMHATICS, LINEAR ALGEBRA, CALCULUS, STATISTICS && GRAPHS

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VECTORIZATION

The art of getting rid of the for loops in the code

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SIMD

Single Instruction

Multiple Data

It is a technique used to achieve parallelism at the data level.

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CPU VS GPU

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Forward propagation

Backward propagation

HOW DEEP LEARNING WORKS

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Z = Wx + b

Logistic Regresion

activation

function

(Z)

prediction

Loss Function

Cost Function

NON CAT (0)

HOW DEEP LEARNING WORKS

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GRADIENT DESCENT

(Optimizer function)

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GRADIENT DESCENT

(Optimizer function)

f'(x) = 0

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GRADIENT DESCENT

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COMPUTER

VISION

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SPECTROGRAM

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SPECTROGRAM

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SPECTROGRAM

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CONVOLUTIONAL NEURONAL NETWORKS

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CONVOLUTIONAL NEURONAL NETWORKS

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CONVOLUTIONAL NEURONAL NETWORKS

https://www.deeplearning.ai/

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HOW CNN SEE?

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CONVOLUTIONAL NEURONAL NETWORKS

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CONVOLUTIONAL NEURONAL NETWORKS

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CONVOLUTIONAL NEURONAL NETWORKS

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Sara

COMPUTER VISION

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COMPUTER VISION

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OPEN POSE

https://github.com/CMU-Perceptual-Computing-Lab/openpose

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SHOW AND TELL (ACCESIBILITY)

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http://rpg.ifi.uzh.ch/dronet.html

DRONE - OBJECT DETECTION

STYLE TRANSFER

https://github.com/nvidia/fastphotostyle

STYLE TRANSFER

https://github.com/lengstrom/fast-style-transfer

STYLE TRANSFER

https://github.com/sebasvega95/neural-style-transfer

STYLE TRANSFER

https://github.com/lengstrom/fast-style-transfer

COLORIZATION

http://richzhang.github.io/colorization/

COLORIZATION

http://richzhang.github.io/colorization/

GENERATIVE ALGORITHMS

Image-to-image translation

https://arxiv.org/abs/1703.00848

GENERATIVE ALGORITHMS

DEEP FAKES (Nicolas Cage)

https://www.youtube.com/watch?v=BU9YAHigNx8

GENERATIVE ALGORITHMS

DEEP FAKES (PORN)

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STELLARATOR

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GENERATIVE ALGORITHMS

 

https://thispersondoesnotexist.com/

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ALPHA GO VS LEE SEDOL

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ALPHA GO VS ALPHA GO ZERO

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ALPHASTART VS STARCRAFT

https://www.youtube.com/watch?v=GmRNpvASiPk

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DEMO

(FACENET)

https://github.com/davidsandberg/facenet

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https://rocka.co

xergioalex

Sergio A. Florez

TECH LEAD && FULL STACK DEVELOPER

Deep learning from academia to practice - Extended version

By Sergio Alexander Florez Galeano

Made with Slides.com

Deep learning from academia to practice - Extended version

You will learn how deep learning models have driven the evolution of artificial intelligence, towards the development of means of transformation that allow achieving new levels of optimization and development in the industry.

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