Pedro Campos Vieira

Pedro Campos Vieira

I am Pedro, a researcher in Artificial Intelligence and Data Science with a Master's degree in the field. My broad area of interest is Network Science and Machine Learning. Currently I focus on topics at the intersection of geometry, topology, and deep learning. I'm aiming to continue this path through a Ph.D. in Topological and Geometric Deep Learning.

Posts by Tags

fundamentals

Essentials of Backpropagation in Fully-Connected Feedforward Multilayer Percepetrons

9 minute read

Published:

For the first blog post, I think it is fitting to start with some fundamental topic. Hence, I decided to start with a fundamental topic for mahcine-learning: backpropagation. This is a fundametal mechanism that is widely used in many modern and state-of-the-art methods and deep-learning architectures. So, it is kind of important :smile:. This short view into backpropagation will go over how the mechanism works in simple Fully-Connected Feedforward Multilayer Percepetrons. Even though it remains in how it is appliyed, probably, in a future blog post, I will tackle more complex arquitectures.

✦ ✦ ✦

machine-learning

Essentials of Backpropagation in Fully-Connected Feedforward Multilayer Percepetrons

9 minute read

Published:

For the first blog post, I think it is fitting to start with some fundamental topic. Hence, I decided to start with a fundamental topic for mahcine-learning: backpropagation. This is a fundametal mechanism that is widely used in many modern and state-of-the-art methods and deep-learning architectures. So, it is kind of important :smile:. This short view into backpropagation will go over how the mechanism works in simple Fully-Connected Feedforward Multilayer Percepetrons. Even though it remains in how it is appliyed, probably, in a future blog post, I will tackle more complex arquitectures.

✦ ✦ ✦