An intro to linear classification with Python - PyImageSearch

Over the past few weeks, we've started to learn more and more about machine learning and the role it plays in computer vision, image classification, and deep learning. We've seen how Convolutional Neural Networks (CNNs) such as LetNet can be used to classify handwritten digits from the MNIST dataset. We've applied the k-NN algorithm to classify whether or not an image contains a dog or a cat. And we've learned how to apply hyperparameter tuning to optimize our model to obtain higher classification accuracy. However, there is another very important machine learning algorithm we have yet to explore -- one that can be built upon and extended naturally to Neural Networks and Convolutional Neural Networks.