Answer Posted / lipika priyadarshini bhoi
Neural network has the high computational rate than the
other conventional computer.
Neural network can perform tasks that a linear program can not.
When an element of the neural network fails,it can continue
without any problem by their parallel nature.
A neural network learns & does not need to be reprogrammed.
| Is This Answer Correct ? | 6 Yes | 0 No |
Post New Answer View All Answers
Explain Generative Adversarial Network.
what are some advantages and disadvantages of neural network?
How are layers counted?
What are the population, sample, training set, design set, validation set, and test set?
What are the applications of a Recurrent Neural Network (RNN)?
What can you do with an nn and what not?
What are the different layers in CNN?
What are conjugate gradients, levenberg-marquardt, etc.?
What is the difference between a Feedforward Neural Network and Recurrent Neural Network?
What are artificial neural networks?
How neural networks became a universal function approximators?
What are batch, incremental, on-line, off-line, deterministic, stochastic, adaptive, instantaneous, pattern, constructive, and sequential learning?
How artificial neurons learns?
How are artificial neural networks different from normal computers?
How does an LSTM network work?
