What is a neural network and what are some advantages and disadvantages of such a network?
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A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0. a) True b) False c) Sometimes – it can also output intermediate values as well d) Can’t say
A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2. The inputs are 4, 10, 5 and 20 respectively. The output will be: a) 238 b) 76 c) 119 d) 123
Which is the similar operation performed by the drop-out in neural network?
What are cases and variables?
Explain in detail Neural Networks?
What are the different layers in CNN?
Describe the structure of artificial neural networks?
What is simple artificial neuron?
What are conjugate gradients, levenberg-marquardt, etc.?
What is a Neural Network?
How does ill-conditioning affect nn training?
What are the advantages of neural networks over conventional computers? (i) They have the ability to learn by example (ii) They are more fault tolerant (iii)They are more suited for real time operation due to their high ‘computational’ rates a) (i) and (ii) are true b) (i) and (iii) are true c) Only (i) d) All of the mentioned
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