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 learning rate should be used for backprop?
What is the advantage of pooling layer in convolutional neural networks?
How neural networks became a universal function approximators?
The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function
How human brain works?
What are the population, sample, training set, design set, validation set, and test set?
What is the difference between a Feedforward Neural Network and Recurrent Neural Network?
Neuro software is: a) A software used to analyze neurons b) It is powerful and easy neural network c) Designed to aid experts in real world d) It is software used by Neuro surgeon
2 Answers Bihar State Power Holding Company Limited BSPHCL,
How are nns related to statistical methods?
What are the different layers in CNN?
What are neural networks? What are the types of neural networks?
How does an LSTM network work?
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