PRUEBAS.ipynb

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Authors: Vladimir Robles-Bykbaev, Lisset Padilla-Viñanzaca, Bryam Guachún-Guamán, Efrén L. Lema-Condo
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Abstract

Fine-Tuning and Model Experimentation. This notebook documents the experimental phase of the study. It contains the code execution for: 1. Loading the pre-trained mobilenetv3_small_pretrained.pth architecture. 2. Fine-tuning the model layers to adapt to the specific pictogram dataset. 3. Testing dynamic quantization techniques to reduce model size without significant accuracy loss.

Fields of Study & Subjects

Advanced Neural Network Applications Domain Adaptation and Few-Shot Learning Computer Science and Engineering

Publication details

Journal / source
SciELO - Scientific Electronic Library Online Dataverse
Publication date
1 January 2026
Document type
Dataset