As mentioned, we will be covering handwritten digit recognition with scikit-learn and TensorFlow. Here, we're going to learn how machine learning can be applied to computer vision projects, and we're going to learn a couple of different ways and models, using a couple of different Python modules. Let's get started.
You have probably heard about machine learning. Here, we will be particularly talking about supervised machine learning, where we have a bunch of examples that we want to accomplish. So, rather than explicitly telling the computer what we want, we give an example.
Let's take the case of the handwritten digits 0 through 9, which have labels that are created by humans indicating what those digits are supposed to be. So, rather than hand-coding features and explicitly telling the computer what the algorithm...