Deep Learning CNN Convolutional Neural Networks with Python - Gradients of MaxPooling Layer Quiz

The video tutorial introduces different types of neural network layers, including convolution, max pooling, and fully connected layers. It provides an exercise to perform max pooling using a 2x2 filter and a stride of 2. The tutorial suggests using Python to solve the exercise, leveraging previously learned techniques to find the max pooled matrix.

Which of the following is NOT a type of layer mentioned in the video?

• Fully connected layer

• Max pooling layer

• Convolution layer

• Recurrent layer

What is the size of the filter used for max pooling in the task?

• 3x3

• 4x4

• 2x2

• 1x1

What stride is used in the max pooling task?

• 1

• 2

• 3

• 4

Which programming language is suggested for finding the max pooled matrix?

• JavaScript

• C++

• Java

• Python

What is the purpose of max pooling in neural networks?

• To increase the size of the input

• To add noise to the input

• To reduce the dimensionality of the input

• To convert the input to binary