No of layers and neurons decide the deepness of a model.

Question

Accepted Answer

No, the deepness of a model depends on the complexity of the problem and the number of abstract features it needs to learn.

The number of layers and neurons can affect the performance and accuracy of the model, but it's not the only factor.
A simple problem may require only a few layers and neurons, while a complex problem may need more.
The deepness of a model can also be influenced by the type of layers used, such as convolutional or recurrent layers.
For example, a deep neural network used for image recognition may have many layers and neurons, while a shallow network used for sentiment analysis may have fewer.

Popular interview questions of Associate Professor