📄️ Intro
Everybody is talking about A.I these days. From DALL.E 2 to its different applications in software and robotics, A.I has started spreading its roots to being one of those technologies that will actually change the face of earth.
📄️ Machine Learning
While learning more about this field we encounter a lot of algorithms, models that can be tweaked to get the results that we want and various kinds of computational thinking to ease the overall workflow. While all this may sound a lil tricky but it follows a simple structure and hierarchy. We'll talk about everything with a simple walkthrough.
📄️ Deep Learning
Deep learning is a subset of machine learning, which is essentially a neural network with three or more layers. These neural networks attempt to simulate the behavior of the human brain—albeit far from matching its ability—allowing it to “learn” from large amounts of data. While a neural network with a single layer can still make approximate predictions, additional hidden layers can help to optimize and refine for accuracy.
📄️ ML in Web
Well you know how to make a face recognition model. Cool. Want to take it one step further and integrate that ML model into a website. Two technologies coming together to make things better.
📄️ Blogs & GitHub Repos
Here is a collection of certain blogs and GitHub repositories that might be helpful.