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Popular pages
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About Me - colah's blog
I work on reverse engineering artificial neural networks into human understandable algorithms. I'm one of the co-founders of Anthropic, an AI lab focused ...
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Calculus on Computational Graphs: Backpropagation -- colah's blog
Posted on August 31, 2015 Introduction Backpropagation is the key algorithm that makes training deep models computationally tractable. For modern neural networks, it can make training with gradient de...
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Understanding LSTM Networks -- colah's blog
Recurrent Neural Networks Humans don’t start their thinking from scratch every second. As you read this essay, you understand each word based on your understanding of previous words. You don’t throw e...
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Conv Nets: A Modular Perspective - colah's blog
Conv Nets: A Modular Perspective Posted on July 8, 2014 Introduction In the last few years, deep neural networks have lead to breakthrough results on a variety of pattern recognition problems, such a...
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Understanding Convolutions - colah's blog
Understanding Convolutions In a previous post, we built up an understanding of convolutional neural networks, without referring to any significant mathematics. To go further, however, we need to under...
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Visualizing MNIST: An Exploration of Dimensionality Reduction - colah's blog
Visualizing MNIST: An Exploration of Dimensionality Reduction Posted on October 9, 2014 At some fundamental level, no one understands machine learning. It isn’t a matter of things being too complicat...