NetworkX is a Python library for studying graphs and networks. NetworkX is free software released under the BSD-new license. NetworkX began development in 2002 by Aric A. Hagberg, Daniel A. Schult, and Pieter J. Swart.[4] It is supported by the National Nuclear Security Administration of the U.S. Department of Energy at Los Alamos National Laboratory. The package was crafted with the aim of creati
Recurrent Nets and their Computational Graph¶ In this section, you will learn how to write recurrent nets with full backprop, recurrent nets with truncated backprop, evaluation of networks with few memory. After reading this section, you will be able to: Handle input sequences of variable length Truncate upper stream of the network during forward computation Use volatile variables to prevent netwo
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