Howtosignalprocessing
- What is the biggest problem with neural networks?
- What are the 3 different types of neural networks?
- What is a disadvantage of neural networks?
- Which neural network model is computationally expensive?
What is the biggest problem with neural networks?
The very most disadvantage of a neural network is its black box nature. Because it has the ability to approximate any function, study its structure but don't give any insights on the structure of the function being approximated.
What are the 3 different types of neural networks?
Artificial Neural Networks (ANN) Convolution Neural Networks (CNN) Recurrent Neural Networks (RNN)
What is a disadvantage of neural networks?
Disadvantages include its "black box" nature, greater computational burden, proneness to overfitting, and the empirical nature of model development. An overview of the features of neural networks and logistic regression is presented, and the advantages and disadvantages of using this modeling technique are discussed.
Which neural network model is computationally expensive?
Training deep neural networks can be very computationally expensive. Very deep networks trained on millions of examples may take days, weeks, and sometimes months to train.
