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www.neuralnet.ai
| | michael-lewis.com
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| | This is a short summary of some of the terminology used in machine learning, with an emphasis on neural networks. I've put it together primarily to help my own understanding, phrasing it largely in non-mathematical terms. As such it may be of use to others who come from more of a programming than a mathematical background.
| | danieltakeshi.github.io
3.8 parsecs away

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| | The Deep Q-Network (DQN) algorithm, as introduced by DeepMind in a NIPS 2013workshop paper, and later published in Nature 2015 can be credited withrevolution...
| | bdtechtalks.com
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| | Gradient descent is the main technique for training machine learning and deep learning models. Read all about it.
| | marcospereira.me
11.6 parsecs away

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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.