🧠 Deep Learning

Assignments and presentation developed in the scope of the Deep Learning discipline, taught by Professor Dário Oliveira (FGV EMAp). Co-authored with @anacarolerthal, whom I thank for the ongoing partnership.

Assignment 1: Transfer Learning (10/10)

Assignment 2: Semantic Segmentation (10/10)

Assignment 3: Action Recognition (10/10)

Assignment 4: Generative Adversarial Networks + Autoencoders (10/10)

Assignment 5: Deep $k$-Means (10/10)

Presentation: YUN, S. et al. Graph Transformer Networks. In: NeurIPS, 2019. [pdf] [slides]

All notebooks were ran on Google Colab.

The repository also contains the cheatsheets folder with some useful concepts of Deep Learning I have written down during the course.