Image classification with quantum pre-training and auto-encoders
暂无分享,去创建一个
[1] Dong Yu,et al. Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition , 2012, IEEE Transactions on Audio, Speech, and Language Processing.
[2] M. W. Johnson,et al. Quantum annealing with manufactured spins , 2011, Nature.
[3] Geoffrey E. Hinton. A Practical Guide to Training Restricted Boltzmann Machines , 2012, Neural Networks: Tricks of the Trade.
[4] H. Nishimori,et al. Quantum annealing in the transverse Ising model , 1998, cond-mat/9804280.
[5] Ashley Montanaro,et al. Quantum algorithms: an overview , 2015, npj Quantum Information.
[6] Andru Putra Twinanda,et al. EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos , 2016, IEEE Transactions on Medical Imaging.
[7] Peter W. Shor,et al. Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer , 1995, SIAM Rev..
[8] Yoshua Bengio,et al. Why Does Unsupervised Pre-training Help Deep Learning? , 2010, AISTATS.
[9] M. W. Johnson,et al. Cotunneling in pairs of coupled flux qubits , 2010, 1006.0028.
[10] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.