Binary classification problems, such as regression problems, are very common machine learning tasks. So much so that any book on deep learning wouldn't be complete without covering them. To be sure, we haven't really hit the sweet spot of deep neural networks quite yet, but we're well on our way. Before we get to the code, let's talk about the trade-offs you should consider when choosing a deep neural network to solve this kind of problem.
Binary classification and deep neural networks
Benefits of deep neural networks
When compared to a more traditional classifier such as a logistic regression model, or even a tree-based model such as random forest or a gradient boosting machine, deep neural networks have...
