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Machine Learning: Model Architecture

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qedk edited this page Nov 13, 2020 · 1 revision

Architecture diagram

The model has over 13,738,513 parameters (4,689,013 trainable + 9,049,500 untrainable) and will take a significant time to train without a TPU/GPU. The model tries to strike a balance between efficiency and performance, and while training is slow, mood analysis of an average paragraph takes <1 second on a 2017 Core i5 processor.

Copyright (C) 2020 Ajitesh Panda, Ankit Maity Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled "GNU Free Documentation License".

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