1-Please describe about overfitting in MLP. 2- Please describe about the number of neurons in input layer and output layer. Also, please describe about the winner neuron in SOM. Which neuron is winner...

1-Please describe about overfitting in MLP.<br>2- Please describe about the number of neurons in input layer and output layer. Also, please describe about the<br>winner neuron in SOM. Which neuron is winner in SOM? (<br>3- Please describe about kemel in nonlinear SVM. And also, please describe about the role of Kernel in nonlinear<br>SVM. Also, please illustrate a figure for describing the role of kernel in nonlinear SVM. (<br>4- What is different between clustering and classification? (<br>

Extracted text: 1-Please describe about overfitting in MLP. 2- Please describe about the number of neurons in input layer and output layer. Also, please describe about the winner neuron in SOM. Which neuron is winner in SOM? ( 3- Please describe about kemel in nonlinear SVM. And also, please describe about the role of Kernel in nonlinear SVM. Also, please illustrate a figure for describing the role of kernel in nonlinear SVM. ( 4- What is different between clustering and classification? (

Jun 10, 2022

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1-Please describe about overfitting in MLP. 2- Please describe about the number of neurons in input layer and output layer. Also, please describe about the winner neuron in SOM. Which neuron is winner...

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