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windowsontheory.org | ||
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marcospereira.me
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| | | | | In this post we summarize the math behind deep learning and implement a simple network that achieves 85% accuracy classifying digits from the MNIST dataset. | |
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theorydish.blog
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| | | | | The chain rule is a fundamental result in calculus. Roughly speaking, it states that if a variable $latex c$ is a differentiable function of intermediate variables $latex b_1,\ldots,b_n$, and each intermediate variable $latex b_i$ is itself a differentiable function of $latex a$, then we can compute the derivative $latex \frac{{\mathrm d} c}{{\mathrm d} a}$ as... | |
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newvick.com
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| | | | | I've been working my way through Andrej Karpathy's 'spelled-out intro to backpropagation', and this post is my recap of how backpropagation works. | |
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swethatanamala.github.io
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| | | The authors developed a straightforward application of the Long Short-Term Memory (LSTM) architecture which can solve English to French translation. | ||
