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?
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
Explain in detail Neural Networks?
What are neural networks and how do they relate to ai?
What is Pooling in CNN and how does it work?
How does an LSTM network work?
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
What are neural networks? What are the types of neural networks?
What is the difference between a Feedforward Neural Network and Recurrent Neural Network?
Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions
The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function
Explain neural networks?
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