jagomart
digital resources
picture1_Differentiation Pdf 169761 | Mblondel Ulisboa 2021 06


picture2_Differentiation Pdf 169761 | Mblondel Ulisboa 2021 06 picture3_Differentiation Pdf 169761 | Mblondel Ulisboa 2021 06

 130x       Filetype PDF       File size 1.58 MB       Source: mblondel.org


File: Differentiation Pdf 169761 | Mblondel Ulisboa 2021 06
Illustration Examples Efcient and Modular Implicit Differentiation Mathieu Blondel Joint work with: Q. Berthet, M. Cuturi, R. Frostig, S. Hoyer, F. Llinares-Lopez, F. Pedregosa, J-P. Vert June4,2021 Gradient-based learning ...

icon picture PDF Filetype PDF | Posted on 26 Jan 2023 | 2 years ago
Partial capture of text on file.

						
									
										
									
																
													
					
The words contained in this file might help you see if this file matches what you are looking for:

...Illustration examples efcient and modular implicit differentiation mathieu blondel joint work with q berthet m cuturi r frostig s hoyer f llinares lopez pedregosa j p vert june gradient based learning training algorithms are the workhorse of modern machine deriving gradients by hand is tedious error prone this becomes quickly infeasible for complex models changestothemodelrequire rederiving deeplearning gpu data autodiff talk differentiating optimization problem solutions outline automaticdifferentiation argmindifferentiation proposedframework experimental results automatic evaluates derivatives a function at given point not same as numerical symbolic which returns human readable expression in neural network context reverse often known backpropagation...
Haven't found the file you're looking for? You can try sending a request file
Comment

no comments yet
Please Login to post a comment.

no reviews yet
Please Login to review.