Deep Learning - Deep Neural Network for Beginners Using Python - Testing (NN Implementation)

The video tutorial discusses the process of testing a neural network model using updated weights. It explains how to calculate the model's accuracy and highlights the importance of analyzing performance to identify areas for improvement. The tutorial suggests that using more neurons and layers could enhance the model's performance, especially when dealing with complex datasets. The video concludes with a brief mention of upcoming lectures on optimization techniques.

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

Evaluate responses using AI:

OFF