4min chapter

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) cover image

Learning to Ponder: Memory in Deep Neural Networks with Andrea Banino - #528

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

CHAPTER

Is Memory Differentiable?

Oftentimes, there are ideas that we might want to apply in the contexts of neural networks. The big challenge is, yet, are they differentiable, so that we can apply techniques like gradient dissent? How does the size of the memory playinto whether we can back prop over it or not? Are there ways that can be harnessed more directly to achieve some of your galls for episodic memory?

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