Deep Learning Quiz

What does the activation function in a neuron do?

• Updates the weights

• Calculates the weighted sum

• Determines the output based on inputs

• Adjusts the prediction threshold

What is the purpose of backpropagation in neural networks?

• To predict outputs

• To collect input data

• To initialize weights

• To compute gradients for weight adjustment

Which of the following is a type of deep learning model?

• Linear Regression

• Support Vector Machines

• Convolutional Neural Networks

• Decision Trees

What is the role of the loss function in training a neural network?

• To initialize the model

• To measure the accuracy of predictions

• To adjust the weights

• To calculate the error of predictions

What does the term 'gradient descent' refer to?

• An optimization algorithm for minimizing loss

• A type of neural network architecture

• A method for initializing weights

• A technique for data preprocessing

Which activation function is commonly used in deep learning?

• Linear Function

• Step Function

• ReLU

• Logistic Function

What is the main purpose of pooling layers in CNNs?

• To connect all neurons

• To apply activation functions

• To reduce dimensionality while retaining information

• To increase the number of features

What is the significance of the 'forget gate' in LSTM?

• It adjusts the weights

• It initializes the memory cell

• It outputs the final prediction

• It decides what information to keep in memory

Which of the following networks is known for real-time object detection?

• YOLO

• VGG

• AlexNet

• LeNet

What is the main characteristic of Convolutional Neural Networks?

• They are simpler than traditional neural networks

• They require less data for training

• They use convolutional layers to extract features

• They are used for sequential data