Sublime
An inspiration engine for ideas
Given a large set of face images, the first autoencoder learns to encode local features like corners and spots, the second uses those to encode facial features like the tip of a nose or the iris of an eye, the third one learns whole noses and eyes, and so on. Finally, the top layer can be a conventional perceptron that learns to recognize your gran
... See morePedro Domingos • The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
Create a CVC that can operate with high confidence.
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LangChain simplifies the development of sophisticated LLM applications by providing reusable components and pre-assembled chains.
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The next clever idea is to stack sparse autoencoders on top of each other
Pedro Domingos • The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
because the model of the network consists of many repetitions of the same features with the same weights, we can often condense the network into “supernodes,”