DeepLearning.AI

CIFAR-100

4 Posts

Finer Tuning: Surgical fine-tuning modifies layers based on data differences.
CIFAR-100

Finer Tuning: Surgical fine-tuning modifies layers based on data differences.

Fine-tuning a neural network typically involves retraining every layer on new data. But research shows that networks may perform better when fine-tuning modifies only a subset of layers.

June 28, 20232 min read
Finer Tuning: Surgical fine-tuning modifies layers based on data differences.
CIFAR-100

Finer Tuning: Surgical fine-tuning modifies layers based on data differences.

Fine-tuning a neural network typically involves retraining every layer on new data. But research shows that networks may perform better when fine-tuning modifies only a subset of layers.

June 28, 20232 min read
Unsupervised Prejudice: Image classification models learned bias from ImageNet.
CIFAR-100

Unsupervised Prejudice: Image classification models learned bias from ImageNet.

Social biases are well documented in decisions made by supervised models trained on ImageNet’s labels. But they also crept into the output of unsupervised models pretrained on the same dataset.

November 18, 20202 min read
Unsupervised Prejudice: Image classification models learned bias from ImageNet.
CIFAR-100

Unsupervised Prejudice: Image classification models learned bias from ImageNet.

Social biases are well documented in decisions made by supervised models trained on ImageNet’s labels. But they also crept into the output of unsupervised models pretrained on the same dataset.

November 18, 20202 min read

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