Describe a neural network : Neural Network for Multiclass Classifications

The video tutorial covers the use of neural networks for multiclass classification, using the Iris dataset as an example. It explains the process of fitting a model, making predictions, and evaluating accuracy through a confusion matrix. The tutorial then applies these concepts to real-world loan payment data, highlighting the challenges and limitations of neural networks in this context. The video concludes with an evaluation of the model's performance, noting a 60% accuracy in the loan data scenario.

What new insight or understanding did you gain from this video?