What is back propagation?
a) It is another name given to the curvy function in the perceptron
b) It is the transmission of error back through the network to adjust the inputs
c) It is the transmission of error back through the network to allow weights to be adjusted so that the network can learn.
d) None of the mentioned
What can you do with an nn and what not?
How does ill-conditioning affect nn training?
What is the difference between a Feedforward Neural Network and Recurrent Neural Network?
What are neural networks and how do they relate to ai?
How does an LSTM network work?
What are neural networks? What are the types of neural networks?
Explain in detail Neural Networks?
Are neural networks helpful in medicine?
How artificial neural networks can be applied in future?
What learning rate should be used for backprop?
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.
Explain neural networks?
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