This week Yoshua is going to give a talk. The room will be McNicoll Z-215. Hope to see many of you there.
Title:
Deep learning, manifold learning and the challenge of normalization constants
Abstract:
I will present some of the material for the four talks that I will give next week at the UCL masterclass series and talk at Oxford, U.K. This will include general material about deep learning, a description of the geometrical view on unsupervised learning shared by manifold learning algorithms and regularized auto-encoders, a discussion of the challenges involved in general-purpose modeling of probability distributions due the a large number of highly separated modes, and how depth and the framework of generative stochastic networks can help.
Best, Razvan
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Sorry for not mentioning the time. It is Thursday 13h00-14h00.
Razvan
On Wed, Oct 16, 2013 at 11:19 AM, Razvan Pascanu r.pascanu@gmail.comwrote:
This week Yoshua is going to give a talk. The room will be McNicoll Z-215. Hope to see many of you there.
Title: Deep learning, manifold learning and the challenge of normalization constants
Abstract:
I will present some of the material for the four talks that I will give next week at the UCL masterclass series and talk at Oxford, U.K. This will include general material about deep learning, a description of the geometrical view on unsupervised learning shared by manifold learning algorithms and regularized auto-encoders, a discussion of the challenges involved in general-purpose modeling of probability distributions due the a large number of highly separated modes, and how depth and the framework of generative stochastic networks can help.
Best, Razvan
Actually, it is probably going to last 2 hours, but feel free to leave if you have other duties.
--Yoshua
On Wed, Oct 16, 2013 at 12:46 PM, Razvan Pascanu r.pascanu@gmail.comwrote:
Sorry for not mentioning the time. It is Thursday 13h00-14h00.
Razvan
On Wed, Oct 16, 2013 at 11:19 AM, Razvan Pascanu r.pascanu@gmail.comwrote:
This week Yoshua is going to give a talk. The room will be McNicoll Z-215. Hope to see many of you there.
Title: Deep learning, manifold learning and the challenge of normalization constants
Abstract:
I will present some of the material for the four talks that I will give next week at the UCL masterclass series and talk at Oxford, U.K. This will include general material about deep learning, a description of the geometrical view on unsupervised learning shared by manifold learning algorithms and regularized auto-encoders, a discussion of the challenges involved in general-purpose modeling of probability distributions due the a large number of highly separated modes, and how depth and the framework of generative stochastic networks can help.
Best, Razvan
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