Une IA
Neat plus Ultra
Grégoire Hébert
Lead-Developper & Formateur @ Les-Tilleuls.coop
@gheb_dev
REACTIVE MACHINES (Scenarii reactive)
LIMITED MEMORY (+ aware of changes in an environment)
THEORY OF MIND (+ aware of the people in it)
SELF AWARE (+ capable of self councious choices)
REACTIVE MACHINES (Scenarii reactive)
LIMITED MEMORY (+ aware of changes in an environment)
THEORY OF MIND (+ aware of the people in it)
SELF AWARE (+ capable of self councious choices)
IN
IN
?
IN
?
OUT
IN
?
OUT
PERCEPTRON
?
?
Or NOT
?
0 -> 10
Or NOT
?
0 -> 1
0 -> 10
Or NOT
?
0 -> 1
activation
0 -> 10
Or NOT
?
0 -> 1
activation
-
BinaryStep
-
Gaussian
-
HyperbolicTangent
-
Parametric Rectified Linear Unit
-
Sigmoid (default)
-
Thresholded Rectified Linear Unit
0 -> 10
Or NOT
?
0 -> 1
activation
-
BinaryStep
-
Gaussian
-
HyperbolicTangent
-
Parametric Rectified Linear Unit
-
Sigmoid (default)
-
Thresholded Rectified Linear Unit
0 -> 10
Or NOT
?
0 -> 1
activation
-
BinaryStep
-
Gaussian
-
HyperbolicTangent
-
Parametric Rectified Linear Unit
-
Sigmoid (default)
-
Thresholded Rectified Linear Unit
0 -> 10
Or NOT
?
0.2
activation
-
BinaryStep
-
Gaussian
-
HyperbolicTangent
-
Parametric Rectified Linear Unit
-
Sigmoid (default)
-
Thresholded Rectified Linear Unit
8
Or NOT
?
8
0.2
activation
-
BinaryStep
-
Gaussian
-
HyperbolicTangent
-
Parametric Rectified Linear Unit
-
Sigmoid (default)
-
Thresholded Rectified Linear Unit
x
Or NOT
sigmoid(8x0.2)
Or NOT
sigmoid(1.6)
Or NOT
0.999212971747
?
0.2
2
Or NOT
0.75306590486
0.2
2
0.06
0.285812242
2
?
0.2
TRAINING
2
?
0.2
BACK PROPAGATION
Linear Gradient Descent
-0.7530659
2
?
0.2
BACK PROPAGATION
Linear Gradient Descent
-0.7530659
2
?
BACK PROPAGATION
Linear Gradient Descent
- 0,10
0.1
0,4542164
2
?
BACK PROPAGATION
Linear Gradient Descent
- 0,10
- 0,03
0.07
0,330153
2
?
0,285881
BACK PROPAGATION
Linear Gradient Descent
- 0,10
- 0,03
0.06
- 0,01
2
CONGRATULATIONS !
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MULTI LAYER
PERCEPTRON
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MULTI LAYER
PERCEPTRON
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NEAT
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NEAT
Neuro Evolution of Augmenting Topologies
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