'Same weights' diaporamas de présentation

Tutorial on: Deep Belief Nets

Tutorial on: Deep Belief Nets. Geoffrey Hinton Canadian Institute for Advanced Research & Department of Computer Science University of Toronto. Overview of the tutorial. FOUNDATIONS OF DEEP LEARNING Why we need to learn generative models. Why it is hard to learn directed belief nets.

1.17k views • 70 slides

EQUATIONS

621 views • 33 slides

EQUATIONS

543 views • 33 slides

Weighted Voting Game Based Multi-robot Team Formation for Distributed Area Coverage

Weighted Voting Game Based Multi-robot Team Formation for Distributed Area Coverage. Ke Cheng and Prithviraj (Raj) Dasgupta Computer Science Department University of Nebraska, Omaha. Research Objective: Multi-robot Coverage.

482 views • 31 slides

Bandwidth Extrapolation of Audio Signals

Bandwidth Extrapolation of Audio Signals. David Choi Sung-Won Yoon. March 15 th , 2001. Motivation Characteristics of audio data Proposed system Linear estimation Principal component analysis Results Conclusions. Outline. Results should be Similar to original wideband signal

340 views • 16 slides

Year = 13-14 School = Howard High School Section = _ 01)_______

Year = 13-14 School = Howard High School Section = _ 01)_______. Three Steps in This Order: Edit Teacher Preferences Edit Grade Calc Options Edit Categories. Index Tab Instruction Assignments. STEP 1: Edit Teacher Preferences

238 views • 15 slides

Review of the Last Lecture

Review of the Last Lecture. began our discussion of why there is a demand for health insurance basic reason => people are risk averse (declining marginal utility of wealth)

206 views • 11 slides

LLE on human body shapes

LLE on human body shapes. Brett Allen Karen Liu. Y 2. Y 1. Y 3. Y k. Y 4. Y0. W 0. X k. W 4. W 1. X 0. W 3. W 2. X 1. X k. X 4. X 2. X 3. Step 1: Find k nearest neighbors. Step 2: Solve for reconstruction weights.

223 views • 7 slides