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Python tools for supervised learning by Quantum Neural Networks

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BBVI (Black Box Variational Inference) https://arxiv.org/abs/1401.0118 ADVI (Automatic Differentiation Variational Inference) https://arxiv.org/abs/1603.00788

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https://qbnets.wordpress.com/2018/07/04/why-doesnt-the-bbvi-black-box-variational-inference-algorithm-use-back-propagation/

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https://qbnets.wordpress.com/2018/07/01/quantum-edward-quantum-computing-software-for-medical-diagnosis-and-gan-generative-adversarial-networks/

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Dustin Tran's Edward uses Black Box Variational Inference BBVI on neural networks to do classification. Can BBVI also be used to do GAN (Generative Adversarial Networks) ? Yes, see https://arxiv.org/abs/1804.03429...

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https://www.meetup.com/Quantum-Computing-and-Big-Data/events/251342267/

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Consider NbTrolsModel, for example. In this case, z is a vector of rotation angles \theta_j \in [0, 2\pi]. There are more of these angles than are necessary to fit a...

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https://qbnets.wordpress.com/2018/06/15/quantum-edward-models-with-complex-valued-layers/

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https://qbnets.wordpress.com/2018/06/04/june-22-2018-toronto-quantum-computing-meetup-next-event-on-quantum-machine-learning/

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https://qbnets.wordpress.com/2018/05/24/quantum-computing-and-a-new-book-the-book-of-why-by-judea-pearl-and-dana-mackenzie/

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https://qbnets.wordpress.com/2018/05/09/bbvi-in-quantum-computing-classical-vs-quantum-supervised-learning-classical-vs-quantum-elbo/

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