Computer Vision Notebooks
1 - 15 of 50 Notebooks
Popular
What is the difference between bagging and boosting in ensemble learning?
Intermediate
PopularWhat is the difference between bagging and boosting in ensemble learning?
Explain the bias-variance tradeoff with an example.
Beginner
Explain the bias-variance tradeoff with an example.
New!Why does batch normalisation speed up training?
Intermediate
New!Why does batch normalisation speed up training?
What is the vanishing gradient problem and how do modern architectures avoid it?
AdvancedWhat is the vanishing gradient problem and how do modern architectures avoid it?
How does dropout regularise a neural network?
BeginnerHow does dropout regularise a neural network?
FeaturedDerive the gradient of the cross-entropy loss for softmax outputs.
AdvancedFeaturedDerive the gradient of the cross-entropy loss for softmax outputs.
When would you choose L1 over L2 regularisation?
IntermediateWhen would you choose L1 over L2 regularisation?
TopWhat is the difference between a generative and a discriminative model?
BeginnerTopWhat is the difference between a generative and a discriminative model?
Explain how self-attention works in a transformer.
AdvancedExplain how self-attention works in a transformer.
Why do we need positional encodings in transformers?
IntermediateWhy do we need positional encodings in transformers?
PopularWhat causes overfitting and how do you detect it?
BeginnerPopularWhat causes overfitting and how do you detect it?
How does k-fold cross-validation reduce evaluation variance?
BeginnerHow does k-fold cross-validation reduce evaluation variance?
New!Explain precision, recall and when F1 is the wrong metric.
IntermediateNew!Explain precision, recall and when F1 is the wrong metric.
What is the ROC AUC actually measuring?
IntermediateWhat is the ROC AUC actually measuring?
How do you handle class imbalance in a fraud detection model?
IntermediateHow do you handle class imbalance in a fraud detection model?
