The network that involves backward links from output to the input and hidden layers is called as ____.
a) Self organizing maps
b) Perceptrons
c) Recurrent neural network
d) Multi layered perceptron
What is a Neural Network?
What are neural networks and how do they relate to ai?
Why is the XOR problem exceptionally interesting to neural network researchers? a) Because it can be expressed in a way that allows you to use a neural network b) Because it is complex binary operation that cannot be solved using neural networks c) Because it can be solved by a single layer perceptron d) Because it is the simplest linearly inseparable problem that exists.
What are combination, activation, error, and objective functions?
How artificial neurons learns?
What is the advantage of pooling layer in convolutional neural networks?
The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function
What is simple artificial neuron?
How artificial neural networks can be applied in future?
Describe the structure of artificial neural networks?
What are batch, incremental, on-line, off-line, deterministic, stochastic, adaptive, instantaneous, pattern, constructive, and sequential learning?
Explain in detail Neural Networks?