Question Bank
3705 approved questions from the community
What is the significance of Residual Networks (ResNets)?
What is the difference between generative and discriminative models?
Which of the following techniques help address the vanishing gradient problem? (Select all that apply)
Which of the following are valid methods to deal with imbalanced datasets? (Select all that apply)
Which of the following are variants of RNN? (Select all that apply)
Why is ReLU preferred over Sigmoid activation in neural networks? (Select all that apply)
Which of the following are benefits of batch normalization? (Select all that apply)
Which of the following are methods to combat the curse of dimensionality? (Select all that apply)
Which of the following are applications of autoencoders? (Select all that apply)
Why do we use convolutions for images rather than fully connected (FC) layers?
What is overfitting in machine learning?
What is Principal Component Analysis (PCA)?
What is data normalization in machine learning?
What is the bias-variance tradeoff in machine learning?
What is the main difference between LDA and PCA for dimensionality reduction?
What is gradient descent?
What command would you use to add only specific files to the staging area?
What is the difference between the working tree and tracked files in Git?
When a file's content changes in Git, the updated version is stored as a new Blob object with a different SHA-1 hash.
Regularly using `git status` is recommended to stay updated on the repository's state.