How to Learn from Little Data - Intro to Deep Learning #17

One-shot learning! In this last weekly video of the course, i'll explain how memory augmented neural networks can help achieve one-shot classification for a small labeled image dataset. We'll also go over the architecture of it's inspiration (the neural turing machine).

Code for this video (with challenge):
https://github.com/llSourcell/How-to-Learn-from-Little-Data

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More learning resources:
https://www.youtube.com/watch?v=CzQSQ_0Z-QU
https://arxiv.org/abs/1605.06065
https://futuristech.info/posts/differential-neural-computer-from-deepmind-and-more-advances-in-backward-propagation
https://thenewstack.io/googles-deepmind-ai-now-capable-deep-neural-reasoning/

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Видео How to Learn from Little Data - Intro to Deep Learning #17 канала Siraj Raval