IMPROVING TENSORFLOW’S MEMORY SWAPPING

The ever-increasing sizes of deep learning models and datasets used increase the need for memory, as insufficient memory may abort a training process. Adding to this problem, deep learning trainings tend to use GPUs over CPUs for better training speed, where in general a GPU has significantly les...

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Bibliographic Details
Main Author: Alvaro, Devin
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/39023
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Institution: Institut Teknologi Bandung
Language: Indonesia

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