Starting to learn about neural networks!

During the past week, I conducted two interviews with professionals in the artificial intelligence and machine learning field. I got an opportunity to discuss how I could learn neural networks by viewing case studies, courses, and books. I now have a much clear mindset to create my mini-projects based on its impact on the world and create solutions. Thus, I started viewing the basic theory behind neural networks and was able to learn about the actual concept of why we even use neural networks and what they actually do. Neural networks are essentially dense layers that transform data to its final result (the actual prediction). I got to learn how neural networks are mainly used for non-linear data as activation functions that can transform the non-linear data into linear data to help create a model that can create predictions. One common activation function is ReLU and I am very interested to begin with this function to actually create a model in the future.

Till then, my goal is to solidify and gain more knowledge about neural networks as I still have much to learn through my courses and online case studies. Furthermore, I am contacting more professionals this week to learn more on what I can do in my mini-projects and eventually my final product in semester 2 of ISM. So see you next week, same place, same time.