Coding a Neural Network from Scratch for Absolute Beginners
This article is pretty long. But this is not to waste your time reading. This long writing is actually here to make things more intuitive and speeding up your learning. Also, I will avoid technical terms and math to make things simpler to consume.
Great! Let’s come back to the rice milling machine. So, this machine takes in paddies and then does some processing (threshing). At the end, you will get rice and husk as output-
Neural Networks or any AI model, in general, are like processing machines that take some data as input, then run some kind of transformation, and finally output the transformed results. For example, if you provide a goat image to the model, then it will transform the image into the word “goat”. Thinking like this is very helpful- no matter what type of task you are doing (classification, segmentation, generation), the model is just transforming one data to another.
Let’s jump into a simple problem: predicting storm. If we have dark clouds and a sudden drop in temperature, then we predict that a storm is coming. Here is a tabular representation of the data-
