Neural Networks and the Emergence of Learning (DevFest, 2023)

Info

Project type Tech conference paper
Date 18th of Nov 2023
My Role Speaker
Topics Emergent phenomenons in the realm of machines
Keywords AI, Neural Networks, Deep Learning
Skills developed Public speaking
Presentation Slides
GitHub Open Source Code
Photo

Description

In November 2023, I delivered a talk at DevFest at Cloud & AI track, an event organized by a Google Developers Group Bucharest and Digital Stack.

The talk introduced a tri-component framework for studying neural networks, with a specific focus on emergent learning. This framework, built on Java, Python, and JavaScript, aids in visualizing and analyzing network behaviors.

My audience comprised students and software engineers from around the world. The discussion centered on several key topics:

Presenting fundamental concepts of neural networks.
Explaining the components of a neuron.
Demonstrating how a neuron functions through an example.
Introducing core concepts of neural networks, such as weights, bias, activation function, loss function, and backpropagation.
Presenting different categories of neural networks.

I thoroughly enjoyed my time at the conference, especially the engaging questions during the Q&A session.

I also appreciated the commitment of the Google Developer Groups in organizing such professional events. The opportunity to be part of the speakers' dinner was particularly memorable. It was a chance to expand our community and network connections in a Romanian traditional setting, complete with music, dances, and food. There, I had the pleasure of meeting many intelligent and inspiring individuals.

Resources

Tech stack