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What is Pooling in CNN and how does it work?
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Explain Generative Adversarial Network.
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.
How are layers counted?
How human brain works?
What are batch, incremental, on-line, off-line, deterministic, stochastic, adaptive, instantaneous, pattern, constructive, and sequential learning?
What is a neural network and what are some advantages and disadvantages of such a network?
How does an LSTM network work?
What can you do with an nn and what not?
How many kinds of kohonen networks exist?
How are nns related to statistical methods?
List some commercial practical applications of artificial neural networks?
The network that involves backward links from output to the input and hidden layers is called as ____. a) Self organizing maps b) Perceptrons c) Recurrent neural network d) Multi layered perceptron
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