Pytorch Notebooks
1 - 15 of 50 Notebooks
What is the difference between bagging and boosting in ensemble learning?

What is the difference between bagging and boosting in ensemble learning?

Explain the bias-variance tradeoff with an example.

Explain the bias-variance tradeoff with an example.

Why does batch normalisation speed up training?

Why does batch normalisation speed up training?

What is the vanishing gradient problem and how do modern architectures avoid it?

What is the vanishing gradient problem and how do modern architectures avoid it?

How does dropout regularise a neural network?

How does dropout regularise a neural network?

Derive the gradient of the cross-entropy loss for softmax outputs.

Derive the gradient of the cross-entropy loss for softmax outputs.

When would you choose L1 over L2 regularisation?

When would you choose L1 over L2 regularisation?

What is the difference between a generative and a discriminative model?

What is the difference between a generative and a discriminative model?

Explain how self-attention works in a transformer.

Explain how self-attention works in a transformer.

Why do we need positional encodings in transformers?

Why do we need positional encodings in transformers?

What causes overfitting and how do you detect it?

What causes overfitting and how do you detect it?

How does k-fold cross-validation reduce evaluation variance?

How does k-fold cross-validation reduce evaluation variance?

Explain precision, recall and when F1 is the wrong metric.

Explain precision, recall and when F1 is the wrong metric.

What is the ROC AUC actually measuring?

What is the ROC AUC actually measuring?

How do you handle class imbalance in a fraud detection model?

How do you handle class imbalance in a fraud detection model?
