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This report outlines the steps taken to execute a Machine Learning test with FastAI and a Resnet18 model.

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ML-FastAI

Este é um relatório das etapas executadas no teste de Machine Learning com FastAI e um modelo de Resnet18, ensinado na matéria de Inteligência Artificial do curso de Ciência da Computação da Universidade Federal do Amapá (UNIFAP), lecionado pelo Prof. Dr. Clay Palmeira. O modelo foi treinado para identificar 4 espécies diferentes de peixes amazônicos: Tucunaré, Tambaqui, Piraíba (Filhote) e Pirarucu.

This report outlines the steps taken to execute a Machine Learning test with FastAI and a Resnet18 model. The test was conducted as part of the Artificial Intelligence subject in the Computer Science undergraduate program at Federal University of Amapá, taught by Prof. Dr. Clay Palmeira. The model was trained to identify four different species of amazon fish: Tucunaré, Tambaqui, Piraíba (Filhote) and Pirarucu.

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This report outlines the steps taken to execute a Machine Learning test with FastAI and a Resnet18 model.

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