Hands-On Convolutional Neural Networks with TensorFlow

Types of ML

ML problems can be separated into three major groups depending on what kind of data is available to us and what we want to accomplish:

Supervised learning: Both the input and desired output or label are available to us. Hand gesture classification, where we are given images of hand gestures and corresponding labels, is an example of a supervised learning problem. We want to create a model that is able to output the correct label given an input hand image.

Supervised techniques include SVM, LDA, neural networks, CNN, K-NN, the decision tree, and so on.

Unsupervised learning: Only the inputs are available with no labels, and we don't necessarily know what we want our model to do. An example would be if we are given a large dataset ...