16 Questions
What is the fundamental component of all deep learning models?
Artificial neuron
What is the function of weights in an artificial neuron?
To calculate the weighted sum of all the inputs
Which algorithm is used to calculate weight and bias updates in deep learning models?
The backpropagation algorithm
What is the purpose of the activation function in an artificial neuron?
To generate a non-linear output
Which type of computing has contributed to the popularity of deep learning?
Parallel computing using graphical processing units
What has made it easier to define and train complex architectures in deep learning?
Availability of deep learning libraries
In a Convolutional Neural Network (CNN), what is the purpose of the pooling layer?
To reduce the size of the representation and the number of parameters and computations in the network
Which type of layers are always the last few layers in a Convolutional Neural Network (CNN)?
Fully connected layers
What is the main purpose of the convolution layer in a CNN?
To extract specific features from the image using convolution
What does the size of the filters (k×k) represent in a convolution layer?
The dimensions of each filter
In a Convolutional Neural Network (CNN), what does the stride represent in a filter?
The number of pixels the filter strides through the image
What is the traditional purpose of padding in a convolution layer?
To retain spatial dimensions after convolution
What is a common task performed by fully connected layers in a CNN?
Performing classification or regression
What does MLP stand for in reference to neural networks?
Multi-Layer Perceptron
What does M represent in the context of training samples for neural networks?
M is the total number of training samples
What is one of the main issues associated with dead neurons in neural networks?
Dead neurons result in vanishing gradients during backpropagation
Test your knowledge of Deep Learning for IoT with this quiz covering topics such as artificial neurons, multilayered perceptron, and the backpropagation algorithm. Explore the reasons behind the popularity of deep learning and the tools and techniques used to optimize gradient descent in DL models.
Make Your Own Quizzes and Flashcards
Convert your notes into interactive study material.
Get started for free
