PDF-On the importance of initialization and momentum in deep learning Ilya Sutskever ilyasugoogle
Author : faustina-dinatale | Published Date : 2014-12-11
com James Martens jmartenscstorontoedu George Dahl gdahlcstorontoedu Geo rey Hinton hintoncstorontoedu Abstract Deep and recurrent neural networks DNNs and RNNs
Presentation Embed Code
Download Presentation
Download Presentation The PPT/PDF document "On the importance of initialization and ..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
On the importance of initialization and momentum in deep learning Ilya Sutskever ilyasugoogle: Transcript
com James Martens jmartenscstorontoedu George Dahl gdahlcstorontoedu Geo rey Hinton hintoncstorontoedu Abstract Deep and recurrent neural networks DNNs and RNNs respectively are powerful mod els that were considered to be almost impos sible to train. We will now quantify exactly how it hits the fan.. Momentum. Momentum = product of mass X velocity. Symbol for momentum is “p” (don’t ask me why). So, p = . mv. Momentum is also a vector and points in the direction of velocity. . EM/. Posterior Regularization . (. Ganchev. et al, 10). E-step:. M. -step: . argmax. w. . E. q. . log . P . (. x. , . y. ; . w. ). Hard EM/. Constraint driven-learning (Chang et al, 07). E-step. with MatConvNet. www.cvc.uab.es/~gros/index.php/hands-on-deep-learning-with-matconvnet/. 15. th. January of . 2015. . Training. ‘antelope’. ‘ballet’. ‘boat’. Empirical Risk. Training. Stochastic gradient descent:. : Pedagogue, Conductor, . Author and Contributor to Music . Education. Scott E. Woodard - Faculty Lecture. West Virginia State University. April 17, 2014 12:30PM Davis Fine Arts Room 103. What is Conducting?. CS 501:CS Seminar. Min Xian. Assistant Professor. Department of Computer Science. University of Idaho. Image from NVIDIA. Researchers:. Geoff Hinton. Yann . LeCun. Andrew Ng. Yoshua. . Bengio. …. Momentum. – tendency of objects to keep going in the same direction with the same speed. Depends on mass and velocity. Has direction. The momentum of a ball depends on its mass and velocity. Ball B has more momentum than ball A. optimisation. Milica. Ga. š. i. ć. Dialogue Systems Group. Structure of spoken . dialogue systems. Language understanding. Language generation. semantics. a. ctions. 2. Speech recognition. Dialogue management. Momentum = Mass x Velocity. p. =. mv. The SI unit for momentum is . kg·m. /s. Momentum and velocity are in the same . direction. Is a vector. Using the equation. p=. mv. At the same velocity, as mass increases – momentum increases. Practical Advice I. Mike . Mozer. Department of Computer Science and. Institute of Cognitive Science. University of Colorado at Boulder. Input Normalization. Reminder from past lecture. True whether . Momentum is a quantity defined as the product of the mass and velocity of an object.. Unit of Momentum. The equation illustrates that momentum is directly proportional to an object’s mass and the object’s velocity.. What is Momentum? Momentum may be defined by its equation: Momentum is a quantity defined as the product of the mass and velocity of an object. Unit of Momentum The equation illustrates that momentum is directly proportional to an object’s mass and the object’s velocity. EMC/NCEP/NWS/NOAA. Young C. Kwon, V. Tallapragada, R. Tuleya, Q. Liu, K. Yeh*, S. Gopal*, Z. Zhang, S. Trahan and J. O’connor . *: HRD/AOML. Use WRF-NMM3.2 . dynamic core. . Upgrade the . vortex initialization. Garima Lalwani Karan Ganju Unnat Jain. Today’s takeaways. Bonus RL recap. Functional Approximation. Deep Q Network. Double Deep Q Network. Dueling Networks. Recurrent DQN. Solving “Doom”. Momentum. Measures how hard it is to stop a moving object.. Momentum can be defined as . "mass in motion.". . All objects have mass; so if an object is moving, then it has momentum - it has its mass in motion. .
Download Document
Here is the link to download the presentation.
"On the importance of initialization and momentum in deep learning Ilya Sutskever ilyasugoogle"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.
Related Documents