If the input vectors arand initial values of three weight vectors are
then calculate the resulting weight found after training the competitive layer with Kohonen’s rule and a learning rate
of 0.5 on the input-series in order I1,I2,and I3,
We are given: Inputs: $$ I_1 = \begin{bmatrix} -1 \\ 0 \end{bmatrix}, \quad I_2 = \begin{bmatrix} 0 \\ 1 \end{bmatrix}, __________ _________ __________ _________ ___ ______ ____ ____ ________.
_________ ________ ____ _____ ______ ________ ___ _______ _____.
__________ ___ _______ _________ ____ ________.
___ ______ ___ _______ ____ _______ __________ __________ _________ __________.
_________ ________ ________ __________ _______ _______ ____ ___ ____.
______ ________ ____ _________ _______ ______ ____ _______ _________.
_____ ________ ____ _________ __________ ____ ____ ___ ___ _________ ______ _____.
__________ _______ ______ ______ ______ _____ ______ _________ __________ ________ _________ ____.
____ ________ _____ ________ _____.
______ _____ ________ ______ _____ ____ __________ ____ ___ _______ ____ _________.
___ ________ ________ ______ __________ ____ _____ _________ __________.
_______ _____.
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Unsupervised learning,
Reinforcement Learning,
Supervised Learning,
What is the role of loss function in machine learning algorithms? Explain any two commonly used loss functions in machine learning algorithms.
Consider the following table for the connections between the input neurons and the hidden layer neurons.
| Input neuron | Hidden layer neurons | Connection weithts |
| 1 | 1 | 1 |
| 1 | 2 | 0.1 |
| 1 | 3 | -1 |
| 2 | 1 | 1 |
| 2 | 2 | -1 |
| 2 | 3 | -1 |
| 3 | 1 | 0.2 |
| 3 | 2 | 0.3 |
| 3 | 3 | 0.6 |
If the input vectors arand initial values of three weight vectors are
then calculate the resulting weight found after training the competitive layer with Kohonen’s rule and a learning rate
of 0.5 on the input-series in order I1,I2,and I3,
Semi-supervised.