Purdue Statistics Theme Seminar Ruslan Salakhutdinov Youtube Ruslan salakhutdinov, carnegie mellon university. dr. ruslan salakhutdinov is a upmc professor of computer science in the machine learning department, school of computer science at carnegie mellon university. he received his m.s. degree and ph.d. degree both in computer science from the university of toronto in 2003 and 2009 respectively. Distinguished theme seminar series; professor ruslan salakhutdinov, purdue department of statistics, 150 n. university st, west lafayette, in 47907.
Purdue Statistics Theme Seminar Ruslan Salakhutdinov Integrating Purdue university statistics live stream. Ruslan salakhutdinov, carnegie mellon university friday, september 18, 3:30 4:30 p.m. edt i will first discuss deep learning models that can find semantically meaningful representations of words, learn to read documents and answer questions about their content. On demystifying adversarial learning purdue statistics is proud to announce the inaugural distinguished theme seminar series! the idea is to introduce a timely and important research topic each year to the statistical audience via both introductory overview and in depth research talks from leading researchers. all are welcome! this year, our theme is "deep learning methods and theory” and. Dropout: a simple way to prevent neural networks from overfitting. n srivastava, g hinton, a krizhevsky, i sutskever, r salakhutdinov. the journal of machine learning research 15 (1), 1929 1958. , 2014. 52377. 2014. reducing the dimensionality of data with neural networks. ge hinton, rr salakhutdinov. science 313 (5786), 504 507.
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