Deep Learning CNN Convolutional Neural Networks with Python - DNN Training Parameters Quiz

The video tutorial explains the process of calculating loss by introducing two key values: the actual value, represented by 'white hat', and the predicted value, represented by 'Y1'. It guides the viewer through understanding these representations and culminates in calculating the squared error for these values.

Can you describe the process of calculating loss based on the values provided?

What does the term 'White hat' represent in the context of this text?

Explain the difference between the actual value and the predicted value as mentioned in the text.

What does Y1 represent in the context of this discussion?

How can you calculate the squared error for the given values?