--- title: c03. Deep Learning --- Deep Learning === ## Introdução **Repositório**: [link](https://curso-r.github.io/202111-deep-learning/) **Google class**: [link](https://classroom.google.com/c/MzAzNzM2NjMwNDA1) **Trabalho final**: Link com as informações gerais do desafio. [waiting...]() Meu trabalho final: [Slides](https://curso-r.github.io/202111-deep-learning/slides/#1) ## Aula 01 {%youtube wRPe9z28lB8 %} Fonte: https://www.youtube.com/watch?v=wRPe9z28lB8 - [Nina na hora](https://www.ninadahora.dev/) - [Gradiente descent](https://www.analyticsvidhya.com/blog/2020/10/how-does-the-gradient-descent-algorithm-work-in-machine-learning/) ## Aula 02 {%youtube hjoaN0wgMYs %} Fonte: https://www.youtube.com/watch?v=hjoaN0wgMYs ## Aula 03 {%youtube 4Yxoi7LSAwc %} Fonte: https://www.youtube.com/watch?v=4Yxoi7LSAwc ## Aula 04 {%youtube g_-ba5cYECI %} Fonte: https://www.youtube.com/watch?v=g_-ba5cYECI ## Aula 05 {%youtube VsC68A_VPxE %} Fonte: https://www.youtube.com/watch?v=VsC68A_VPxE ## Aula 06 {%youtube g3wzRGQIric %} Fonte: https://www.youtube.com/watch?v=g3wzRGQIric ###### tags: `curso-R` `capítulos`
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