Nauka
DeepLearning_GPT3_questions
Wyświetlane są wszystkie pytania.
Pytanie 17
Which of the following is not a common approach to unsupervised pretraining in deep learning?
Convolutional Neural Networks
Autoencoders
Deep Belief Networks
Restricted Boltzmann Machines
Pytanie 18
Which of the following is not a commonly used regularization technique in deep learning?
L2 regularization
L1 regularization
Dropout
Random forest regularization
Pytanie 19
What is the main problem with using the vanilla gradient descent algorithm for training deep neural networks?
It can get stuck in local optima
It is computationally expensive
It can be too slow to converge
It can lead to overfitting
Pytanie 20
Which of the following is not a commonly used activation function in deep learning?
ReLU
Tanh
Linear
Sigmoid
Pytanie 21
What is the purpose of the softmax function in deep learning?
To normalize the output of the neural network to a probability distribution
To compute the gradient of the loss function with respect to the weights
To calculate the output of the neural network
To activate the neurons in the neural network
Pytanie 22
What is the purpose of the backpropagation algorithm in deep learning?
To calculate the output of the neural network
To update the weights in the neural network
To compute the gradient of the loss function with respect to the weights
To propagate the input forward through the network
Pytanie 23
What is the difference between supervised and unsupervised learning?
There is no difference between the two
Supervised learning requires labeled data, while unsupervised learning does not
Supervised learning requires less training data than unsupervised learning
Supervised learning is more accurate than unsupervised learning
Pytanie 24
Which of the following is not a commonly used activation function in deep learning?
ReLU
Polynomial
Sigmoid
Tanh