You don’t always have enough images to train a deep neural network. Here is how you can teach your model to learn quickly from a few examples.

Why do we care about Few-Shot Learning?

In 1980, Kunihiko Fukushima developed the first convolutional neural networks. Since then, thanks to increasing computing capabilities and huge efforts from the machine learning community, deep learning algorithms have never ceased to improve their performances on tasks related to computer vision. In 2015, Kaiming He and his team at Microsoft reported that their model performed better than humans at classifying images from ImageNet. At that point, one could argue that computers became better…

Etienne Bennequin

Working @Sicara_fr

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