. Why are linearly separable problems of interest of neural network researchers?
a) Because they are the only class of problem that network can solve successfully
b) Because they are the only class of problem that Perceptron can solve successfully
c) Because they are the only mathematical functions that are continue
d) Because they are the only mathematical functions you can draw
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Who is concerned with nns?
What are batch, incremental, on-line, off-line, deterministic, stochastic, adaptive, instantaneous, pattern, constructive, and sequential learning?
Explain neural networks?
What are conjugate gradients, levenberg-marquardt, etc.?
What are the different layers in CNN?
How are weights initialized in a network?
What is Pooling in CNN and how does it work?
What are cases and variables?
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 the applications of a Recurrent Neural Network (RNN)?
How are layers counted?
Which is the similar operation performed by the drop-out in neural network?
How many kinds of nns exist?
How artificial neural networks can be applied in future?
what are some advantages and disadvantages of neural network?