Evaluate the accuracy of an artificial intelligence system : Implement a DNN Based Multi-Class Classification with MXNet

The video tutorial covers the creation of a deep neural network with three hidden layers using the maxnet library. It explains how to prepare and split the fashion dataset into training and testing sets using the caret package. The tutorial details the conversion of training data into predictors and the construction of the neural network with specific layers and activation functions. It also discusses the training process, model evaluation, and the implementation of the model on testing data to make predictions, highlighting the model's accuracy and robustness.

How many iterations were performed during the training of the model?

What improvements were observed in the training model's accuracy after 30 iterations?

Discuss the method used to evaluate the model's performance on the testing data.

What does the confusion matrix reveal about the model's predictions?