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

The video tutorial explains the process of calculating the simple squared error by finding the difference between predicted and ground truth values, and then squaring that difference to obtain the final result.

What are the two types of values mentioned in the video?

• Original and predicted values

• Original and estimated values

• Predicted and ground truth values

• Predicted and estimated values

What is the first step in calculating the simple squared error?

• Finding the difference between predicted and ground truth values

• Multiplying the predicted and ground truth values

• Adding the predicted and ground truth values

• Dividing the predicted value by the ground truth value

What is the numerical difference mentioned in the video?

• 2.203

• 4.203

• 1.10

• 3.10

What operation is performed on the difference to find the squared error?

• Doubling the difference

• Taking the square root of the difference

• Squaring the difference

• Cubing the difference

What is the final squared value calculated in the video?

• 1.10

• 2.20

• 1.21

• 1.10^2