How artificial neural networks can be applied in future?
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What is the role of activation functions in a Neural Network?
An auto-associative network is: a) a neural network that contains no loops b) a neural network that contains feedback c) a neural network that has only one loop d) a single layer feed-forward neural network with pre-processing
What is Pooling in CNN and how does it work?
What are combination, activation, error, and objective functions?
I need a MATLAB source code to recognize different regular geometric shapes such as: squares,rectangles,triangles,circles and ellipses in different sizes using neural network. All of the images containing these shapes should be in binary format with the size of 300*400 pixels. would you please give me a MATLAB code to detect these geometric shapes?
How artificial neurons learns?
What can you do with an nn and what not?
How are layers counted?
What are the different layers in CNN?
How many kinds of kohonen networks exist?
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.
Are neural networks helpful in medicine?
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