Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Gradient Descent in CNNs Acti

This video tutorial covers a programming activity focused on doubling a model's sequence. It explains the use of kernels and masks, the representation of targets and classes, and the application of gradient descent. The project involves extending existing code to achieve these goals.

What is the primary task in the programming activity described in the first section?

• To double the sequence of the model

• To quadruple the sequence of the model

• To triple the sequence of the model

• To halve the sequence of the model

In the context of the second section, how many target numbers are there now?

• Three target numbers

• One target number

• Four target numbers

• Two target numbers

What do the three target numbers represent in the second section?

• Different sequences

• Different kernels

• Different classes

• Different models

What is the main focus of the final section regarding the code provided?

• To ignore the code and start a new project

• To use and extend the code for gradient descent

• To apply the code without any changes

• To rewrite the code from scratch

What is the purpose of applying gradient descent multiple times as mentioned in the final section?

• To find a completely new target

• To maintain the current target

• To move away from the actual target

• To get closer to the actual target