How are nns related to statistical methods?
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Which of the following is not the promise of artificial neural network? a) It can explain result b) It can survive the failure of some nodes c) It has inherent parallelism d) It can handle noise
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?
What are artificial neural networks?
What are the population, sample, training set, design set, validation set, and test set?
Who is concerned with nns?
Explain Generative Adversarial Network.
List some commercial practical applications of artificial neural networks?
What is the advantage of pooling layer in convolutional neural networks?
A 3-input neuron is trained to output a zero when the input is 110 and a one when the input is 111. After generalization, the output will be zero when and only when the input is: a) 000 or 110 or 011 or 101 b) 010 or 100 or 110 or 101 c) 000 or 010 or 110 or 100 d) 100 or 111 or 101 or 001
How does ill-conditioning affect nn training?
Which is the similar operation performed by the drop-out in neural network?
How are artificial neural networks different from normal computers?
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