A Simple Prediction Machine
Explore how to build a simple prediction machine by understanding input-output processes and linear relationships. Learn to estimate constants from examples and grasp foundational concepts in neural networks, setting the stage for building more complex models.
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Build a simple model
Imagine a basic machine that takes a question, does some thinking, and pushes out an answer. We can compare this process to the example from before, where we take input through our eyes, use our brains to analyze the scene, and come to a conclusion about what objects are in that scene. Here’s what this looks like.
Computers don’t really think. They are just glorified calculators. So, let’s use more appropriate words to describe what’s going on.
A computer takes some input, does some calculations, and pops out an output. This is illustrated in the following image. An input of ...