Appendix: Is there a simple algorithm for intelligence?

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Neural networks and deep learning Appendix: Is there a simple algorithm for intelligence? Neural Networks and Deep Learning What this book is about On the exercises and problems Using neural nets to recognize handwritten digits Perceptrons Sigmoid neurons The architecture of neural networks A simple network to classify handwritten digits Learning with gradient descent Implementing our network to classify digits Toward deep learning How the backpropagation algorithm works Warm up: a fast matrix-based approach to computing the output from a neural network The two assumptions we need about the co

Appendix: Is there a simple algorithm for intelligence?

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