1. Lecture 04: Multilayer Perceptron
By:
Nur Uddin, Ph.D

2. Multilayer Perceptron (MLP)
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3. Signal Directions in MLP
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4. Differentiation with respect to a vector
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5. Differentiation with respect to a vector (cont’d)
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6. Differentiation with respect to a vector (cont’d)
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7. Unconstrained Optimization
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8. Steepest Descent Method
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9. Forward Computation See the white board
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10. Part 2 Multi Layer Perceptron (MLP): Backward Computation (Backpropagation)
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11. MLP Forward Computation
Training data:
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12. MLP Error
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13. Backpropagation
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14. Backpropagation (Cont’d)
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15. Backward computation (Backpropagation)
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16. Backward computation (Backpropagation)
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17. Activation Function Logistic Function (Sigmoid) Hyperbolic Tangent
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