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Knowledge Distillation with Teacher Assistant for Model Compression
Aug 29, 2024

Knowledge Distillation with Teacher Assistant for Model Compression

A better and intuitive technique to model compression.

Focal Loss vs. Binary Cross Entropy Loss
Aug 28, 2024

Focal Loss vs. Binary Cross Entropy Loss

Which one to prefer?

A Technique to Remember Precision and Recall
Aug 27, 2024

A Technique to Remember Precision and Recall

A simple and intuitive guide to precision and recall.

A Crash Course on Graph Neural Networks — Part 2
Aug 26, 2024

A Crash Course on Graph Neural Networks — Part 2

Implementation included.

A Common Misconception About Boosting
Aug 25, 2024

A Common Misconception About Boosting

Boosting != Tree-based boosting.

The Categorisation of Discriminative Models
Aug 24, 2024

The Categorisation of Discriminative Models

...and when to prefer a specific type of model.

A Popular Interview Question: Discriminative vs. Generative Models
Aug 23, 2024

A Popular Interview Question: Discriminative vs. Generative Models

A simplified guide to generative and discriminative models, along with a quiz.

Grid Search vs. Random Search vs. Bayesian Optimization
Aug 22, 2024

Grid Search vs. Random Search vs. Bayesian Optimization

Better methods for hyperparameter tuning.

A Crash Course on Graph Neural Networks
Aug 21, 2024

A Crash Course on Graph Neural Networks

Implementation included.

DropBlock vs. Dropout for Regularizing CNNs
Aug 20, 2024

DropBlock vs. Dropout for Regularizing CNNs

Addressing a limitation of Dropout when used in CNNs.

CNN Explainer: An Interactive Tool to Understand CNNs
Aug 19, 2024

CNN Explainer: An Interactive Tool to Understand CNNs

CNN Explainer: Interactively Visualize a Convolutional Neural Network.

Why Traditional kNN is Not Suited for Imbalanced Datasets
Aug 18, 2024

Why Traditional kNN is Not Suited for Imbalanced Datasets

...and two techniques to handle it.

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