Redes Neurais Além da Teoria: Aplicações Reais do Aprendizado Profundo e Expectativas da Área

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Disciplina: Aprendizado ProfundoProfessor Especialista: Jonathan de Andrade SilvaNome do convidado: Luiz Fernando Sommaggio ColettaMinibio: Doutor em Ciência da Computação pelo ICMC/USP (2015) com tese premiada em Inteligência Computacional, pós-doutor em Arquiteturas Cognitivas pelo H.IAAC/Unicamp (2022) e atualmente Cientista de Dados na Dell Technologies, aplicando técnicas de IA/ML a desafios industriais.Resumo: Neste episódio, vamos bater um papo descontraído sobre o universo do Aprendizado Profundo: como ele funciona, onde está sendo usado e quais os desafios reais de sua aplicação em larga escala. O professor Jonathan e o convidado Luiz Fernando compartilham experiências acadêmicas e do mercado, discutindo desde redes neurais clássicas até arquiteturas avançadas como Transformers. Venha refletir com a gente sobre como a IA está moldando o presente e o futuro!

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Redes Neurais Além da Teoria: Aplicações Reais do Aprendizado Profundo e Expectativas da Área

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