What is backprop?
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What are batch, incremental, on-line, off-line, deterministic, stochastic, adaptive, instantaneous, pattern, constructive, and sequential learning?
Which of the following is true? (i) On average, neural networks have higher computational rates than conventional computers. (ii) Neural networks learn by example. (iii) Neural networks mimic the way the human brain works. a) All of the mentioned are true b) (ii) and (iii) are true c) (i), (ii) and (iii) are true d) None of the mentioned
What is Pooling in CNN and how does it work?
What are neural networks? What are the types of neural networks?
What is simple artificial neuron?
Why use artificial neural networks? What are its advantages?
How many kinds of kohonen networks exist?
What is artificial intelligence neural networks?
Who is concerned with nns?
What can you do with an nn and what not?
What learning rate should be used for backprop?
What is the difference between a Feedforward Neural Network and Recurrent Neural Network?