Complex Analysis

Graphic Recognition

Generative

Adversa

rial N

etwork

Hopfield Network

Predictions andForecasting

Feedforw

ard (F

F)

Language andSentiment Analysis

AutonomousDecision Making

Echo St

ate Netw

ork (ESN

)

Boltzman

n Mac

hine (BM)

Deconvo

lutional Netw

ork (D

N)

Liquid St

ate M

achine

Long/S

hort Term

Memory

(LSTM)

Markov C

hain (M

C)

Neural Turin

g Mac

hine (NTM)

Perceptro

n (P)

Radial

Basis F

orward

(RBF)

Recurre

nt Neural

Networks

(RNNs)

Restrict

ed Boltzman

n Mac

hine (RBM)

Spars

e AutoEncoder (S

AE)

Support

Machine Vecto

r (SVM)

Variati

onal AutoEnco

der (VAE)

Deep Residual

Network

(DRN)

Deep Belief N

etwork

(DBN)

Deep Convolutional

Inverse

Graphics

Network

(DCIGN)

Deep Convolutional

Network

(DCN)

Kohonen Network

(KN)

Extreme Le

arning M

achine (E

LM)

AutoEncoder (A

E)

X X X X X X X X X X X X X X X XX

X X

X

X

X X X X X X X X X X X

X X X X

X X

X X X

X X XX X X X

X

X X X X

Denoising A

utoEncoder (D

AE)

Deep Feedforw

ard (D

FF)

Module 1: Fundamental Artificial Intelligence

Artificial Intelligence Systems Problem Types and Neural Networks Mapping Reference Matrix

Official Supplement

Artificial IntelligenceSpecialist

Artificial IntelligenceSpecialist

C E R T I F I E D

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ArtificialIntelligence

T R A I N I N G

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