Question Bank
1899 approved questions from the community
What is an autoencoder?
What is LSTM (Long Short-Term Memory)?
Which of the following are methods to combat the curse of dimensionality? (Select all that apply)
What are the two main components of a GAN (Generative Adversarial Network)?
What is momentum in neural network optimization?
What is the learning rate in neural network optimization?
What is the difference between Batch Gradient Descent and Stochastic Gradient Descent?
What is the vanishing gradient problem?
Why is ReLU preferred over Sigmoid activation in neural networks? (Select all that apply)
What are dropouts in neural networks?
What is the difference between boosting and bagging?
Why do segmentation CNNs typically have an encoder-decoder structure?
What is batch normalization and why is it effective?
What is transfer learning in deep learning?
What problem do residual connections in ResNets primarily address?
What is the difference between an iteration and an epoch in neural network training?
What is early stopping in machine learning?
What is a ROC (Receiver Operating Characteristic) curve?
What is the basic difference between LSTM and Transformers?
What is the purpose of a validation set in machine learning?