Question

What is training and testing and validation phase of neural network?

Answer 1

Answer:

Validation set: A set of examples used to tune the parameters [i.e., architecture, not weights] of a classifier, for example to choose the number of hidden units in a neural network. ... The validation data set is a set of data for the function you want to learn, which you are not directly using to train the network.validation set is a set of data used to train artificial intelligence (AI) with the goal of finding and optimizing the best model to solve a given problem. Validation sets are also known as dev sets. A supervised AI is trained on a corpus of training data.

Answer 2

Answer:

==============================================

• Validation set: A set of examples used to tune the parameters [i.e., architecture, not weights] of a classifier, for example to choose the number of hidden units in a neural network.

• The validation data set is a set of data for the function you want to learn, which you are not directly using to train the network.validation set is a set of data used to train artificial intelligence (AI) with the goal of finding and optimizing the best model to solve a given problem. Validation sets are also known as dev sets. A supervised Al is trained on a corpus of training data.

==============================================

[i hope help ✔️