Deep Learning with Python: Neural Networks (complete tutorial)

In this article, I will show how to build Neural Networks with Python and how to explain Deep Learning to the Business using visualization and creating an explainer for model predictions. Deep Learning is a type of machine learning that imitates the way humans gain certain types of knowledge, and it got more popular over the years compared to standard models. While traditional algorithms are linear, Deep Learning models, generally Neural Networks, are stacked in a hierarchy of increasing complexity and abstraction (therefore the "deep" in Deep Learning). Neural Networks are based on a collection of connected units (neurons), which, just like the synapses in a brain, can transmit a signal to other neurons, so that, acting like interconnected brain cells, they can learn and make decisions in a more human-like manner. Today, Deep Learning is so popular that many companies want to use it even though they don't fully understand it.