Google Colaboratory as a Solution for Remote Teaching of Deep Learning: Innovations and Overcoming Challenges

• Martony Demes da Silva UFPI
• Nara Leyla dos Santos Silva UFPI

DOI: https://doi.org/10.5753/connect.2025.10764

Abstract

This article presents a study on the use of Google Colaboratory as a tool for remote teaching of the Deep Learning I course at the University UF. With the pandemic, remote education became an urgent necessity, especially for courses that require high computational power. Google Colaboratory was adopted as a solution to enable deep learning education without the need for advanced local infrastructure. The platform offers features such as free GPUs and integration with machine learning libraries, which facilitate the implementation of complex models. The article discusses the main challenges faced by students in using the platform, such as GPU time limitations and connectivity issues, as well as the solutions adopted to overcome them. The results show that, despite the difficulties, the use of Google Colaboratory provided a more accessible and effective learning experience.

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