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Glorfindel
Glorfindel
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Recently uploaded paper in Arxiv (1512.06293)Arxiv (1512.06293). This paper formalize concepts and proves them. And few others that you might check out:

  1. J. Bruna and S. Mallat, “Invariant Scattering Convolution NetworksInvariant Scattering Convolution Networks,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 8, pp. 1872–1886, Aug. 2013.
  • for Covnet
  1. A. Choromanska, M. Henaff, M. Mathieu, G. B. Arous, and Y. LeCun, “The Loss Surfaces of Multilayer NetworksThe Loss Surfaces of Multilayer Networks,” arXiv:1412.0233 [cs], Nov.
  • Spin Glasses Theory
  • for Deep MLP and Convnet
  1. P. Mehta and D. J. Schwab, “An exact mapping between the Variational Renormalization Group and Deep LearningAn exact mapping between the Variational Renormalization Group and Deep Learning,” arXiv:1410.3831 [cond-mat, stat], Oct. 2014.
  • for Restricted Boltzmann Machine, Deep Belief Network and Deep Boltzmann Machine.

Recently uploaded paper in Arxiv (1512.06293). This paper formalize concepts and proves them. And few others that you might check out:

  1. J. Bruna and S. Mallat, “Invariant Scattering Convolution Networks,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 8, pp. 1872–1886, Aug. 2013.
  • for Covnet
  1. A. Choromanska, M. Henaff, M. Mathieu, G. B. Arous, and Y. LeCun, “The Loss Surfaces of Multilayer Networks,” arXiv:1412.0233 [cs], Nov.
  • Spin Glasses Theory
  • for Deep MLP and Convnet
  1. P. Mehta and D. J. Schwab, “An exact mapping between the Variational Renormalization Group and Deep Learning,” arXiv:1410.3831 [cond-mat, stat], Oct. 2014.
  • for Restricted Boltzmann Machine, Deep Belief Network and Deep Boltzmann Machine.

Recently uploaded paper in Arxiv (1512.06293). This paper formalize concepts and proves them. And few others that you might check out:

  1. J. Bruna and S. Mallat, “Invariant Scattering Convolution Networks,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 8, pp. 1872–1886, Aug. 2013.
  • for Covnet
  1. A. Choromanska, M. Henaff, M. Mathieu, G. B. Arous, and Y. LeCun, “The Loss Surfaces of Multilayer Networks,” arXiv:1412.0233 [cs], Nov.
  • Spin Glasses Theory
  • for Deep MLP and Convnet
  1. P. Mehta and D. J. Schwab, “An exact mapping between the Variational Renormalization Group and Deep Learning,” arXiv:1410.3831 [cond-mat, stat], Oct. 2014.
  • for Restricted Boltzmann Machine, Deep Belief Network and Deep Boltzmann Machine.
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edit approved Feb 19, 2016 at 13:51
Tadashi
edit approved Feb 19, 2016 at 13:51
Tadashi
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Recently uploaded paper in Arxiv (1512.06293). This paper formalize concepts and proves them. And few others that you might check out:

1 J. Bruna and S. Mallat, “Invariant Scattering Convolution Networks,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 8, pp. 1872–1886, Aug. 2013.

  1. J. Bruna and S. Mallat, “Invariant Scattering Convolution Networks,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 8, pp. 1872–1886, Aug. 2013.
  • for Covnet

[2] A. Choromanska, M. Henaff, M. Mathieu, G. B. Arous, and Y. LeCun, “The Loss Surfaces of Multilayer Networks,” arXiv:1412.0233 [cs], Nov. 2014.

  1. A. Choromanska, M. Henaff, M. Mathieu, G. B. Arous, and Y. LeCun, “The Loss Surfaces of Multilayer Networks,” arXiv:1412.0233 [cs], Nov.
  • Spin Glasses Theory
  • for Deep MLP and Convnet

[3] P. Mehta and D. J. Schwab, “An exact mapping between the Variational Renormalization Group and Deep Learning,” arXiv:1410.3831 [cond-mat, stat], Oct. 2014.

  1. P. Mehta and D. J. Schwab, “An exact mapping between the Variational Renormalization Group and Deep Learning,” arXiv:1410.3831 [cond-mat, stat], Oct. 2014.
  • for Restricted Boltzmann Machine, Deep Belief Network and Deep Boltzmann Machine.

Recently uploaded paper in Arxiv. This paper formalize concepts and proves them. And few others that you might check out:

1 J. Bruna and S. Mallat, “Invariant Scattering Convolution Networks,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 8, pp. 1872–1886, Aug. 2013.

  • for Covnet

[2] A. Choromanska, M. Henaff, M. Mathieu, G. B. Arous, and Y. LeCun, “The Loss Surfaces of Multilayer Networks,” arXiv:1412.0233 [cs], Nov. 2014.

  • Spin Glasses Theory
  • for Deep MLP and Convnet

[3] P. Mehta and D. J. Schwab, “An exact mapping between the Variational Renormalization Group and Deep Learning,” arXiv:1410.3831 [cond-mat, stat], Oct. 2014.

  • for Restricted Boltzmann Machine, Deep Belief Network and Deep Boltzmann Machine.

Recently uploaded paper in Arxiv (1512.06293). This paper formalize concepts and proves them. And few others that you might check out:

  1. J. Bruna and S. Mallat, “Invariant Scattering Convolution Networks,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 8, pp. 1872–1886, Aug. 2013.
  • for Covnet
  1. A. Choromanska, M. Henaff, M. Mathieu, G. B. Arous, and Y. LeCun, “The Loss Surfaces of Multilayer Networks,” arXiv:1412.0233 [cs], Nov.
  • Spin Glasses Theory
  • for Deep MLP and Convnet
  1. P. Mehta and D. J. Schwab, “An exact mapping between the Variational Renormalization Group and Deep Learning,” arXiv:1410.3831 [cond-mat, stat], Oct. 2014.
  • for Restricted Boltzmann Machine, Deep Belief Network and Deep Boltzmann Machine.
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le4m
le4m
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Recently uploaded paper in Arxiv. This paper formalize concepts and proves them. And few other thinksothers that you might check out:

1 J. Bruna and S. Mallat, “Invariant Scattering Convolution Networks,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 8, pp. 1872–1886, Aug. 2013.

  • for Covnet

[2] A. Choromanska, M. Henaff, M. Mathieu, G. B. Arous, and Y. LeCun, “The Loss Surfaces of Multilayer Networks,” arXiv:1412.0233 [cs], Nov. 2014.

  • Spin Glasses Theory
  • for Deep MLP and Convnet

[3] P. Mehta and D. J. Schwab, “An exact mapping between the Variational Renormalization Group and Deep Learning,” arXiv:1410.3831 [cond-mat, stat], Oct. 2014.

  • for Restricted Boltzmann Machine, Deep Belief Network and Deep Boltzmann Machine.

Recently uploaded paper in Arxiv. This paper formalize concepts and proves them. And few other thinks that you might check out:

1 J. Bruna and S. Mallat, “Invariant Scattering Convolution Networks,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 8, pp. 1872–1886, Aug. 2013.

  • for Covnet

[2] A. Choromanska, M. Henaff, M. Mathieu, G. B. Arous, and Y. LeCun, “The Loss Surfaces of Multilayer Networks,” arXiv:1412.0233 [cs], Nov. 2014.

  • Spin Glasses Theory
  • for Deep MLP and Convnet

[3] P. Mehta and D. J. Schwab, “An exact mapping between the Variational Renormalization Group and Deep Learning,” arXiv:1410.3831 [cond-mat, stat], Oct. 2014.

  • for Restricted Boltzmann Machine, Deep Belief Network and Deep Boltzmann Machine.

Recently uploaded paper in Arxiv. This paper formalize concepts and proves them. And few others that you might check out:

1 J. Bruna and S. Mallat, “Invariant Scattering Convolution Networks,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 8, pp. 1872–1886, Aug. 2013.

  • for Covnet

[2] A. Choromanska, M. Henaff, M. Mathieu, G. B. Arous, and Y. LeCun, “The Loss Surfaces of Multilayer Networks,” arXiv:1412.0233 [cs], Nov. 2014.

  • Spin Glasses Theory
  • for Deep MLP and Convnet

[3] P. Mehta and D. J. Schwab, “An exact mapping between the Variational Renormalization Group and Deep Learning,” arXiv:1410.3831 [cond-mat, stat], Oct. 2014.

  • for Restricted Boltzmann Machine, Deep Belief Network and Deep Boltzmann Machine.
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le4m
le4m
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