ANN (perceptron learning

Question 1

What is NN based on and what does it do?

Answer 1

Analogy from how the brain works
Parallel processing
Has software and hardware implementation

Question 2

What does Perceptron learning do?

Answer 2

It performs pattern classification
Its a feedforward neural network
Can be single layered or multilayered
Is trained by determining weights and biases

Question 3

What is an epoch?

Answer 3

1 complete pass through the entire training dataset

Question 4

What does Perceptron learning perform?

Answer 4

Pattern classification

Question 5

What does the training of Perceptron Learning do?

Answer 5

It allows the Perceptron to learn the optimal weights and bias for a specific classification task

Question 6

Binary classification example

Answer 6

Attributes:
Shape
Texture
Weight

Orange:
input: [1 -1 -1]
output: -1

Apple…..