Question Bank
3705 approved questions from the community
What is the main difference between Ridge (L2) and Lasso (L1) regularization?
What is regularization in machine learning?
Max-pooling in CNNs helps reduce computation and contributes to translation invariance.
Underfitting occurs when a model is too complex and memorizes the training data.
What are dropouts in neural networks?
What is LSTM (Long Short-Term Memory)?
What are the two main components of a GAN (Generative Adversarial Network)?
What is an autoencoder?
What is the learning rate in neural network optimization?
What is momentum in neural network optimization?
What is a cost function in neural networks?
What is the F1-score?
What is the difference between Batch Gradient Descent and Stochastic Gradient Descent?
What is the vanishing gradient problem?
What is the purpose of a validation set in machine learning?
What is unsupervised learning?
What is batch normalization and why is it effective?
Why use many small convolutional kernels (like 3x3) rather than a few large ones?
What is reinforcement learning?
Why do we use convolutions for images rather than fully connected (FC) layers?