Christian Szegedy

(3 articles)
Adversarial Attacks
2004

Adversarial Attacks

Manipulating input data to deceive machine learning models, causing them to make incorrect predictions or classifications.

Generality: 650

Variance Scaling
2015

Variance Scaling

Variance scaling is a technique used in machine learning to ensure weights of layers are initialized in a way that maintains consistent variance of activations throughout a neural network.

Generality: 525

Batch Normalization
2015

Batch Normalization

A technique used to improve the training speed and performance of neural networks by normalizing layer inputs.

Generality: 675