In this article we explain you THE method to never forget the difference between True Positives, False Negatives, True Negatives and False Positives. These terms define the type of result we can get after a prediction with two possibilities (in…
When I started studying Deep Learning, I immediately realized that an tremendous amount of research and progress had already been made. Faced with this mountain of knowledge which I knew nothing about, I decided to do as everyone else. I…
Feature Engineering is the big difference between Machine Learning and Deep Learning but… what is it exactly ? I recently saw on Google Trends that one of the most searched sentence on the internet about AI is “what is the…
How will tomorrow’s data scientists build their Deep Learning algorithms ? How will they perform preprocessing in the near future? A simple answer: AutoKeras. In this article we will explore the AutoKeras library which enables Deep Learning with only 3…
In this article, we’ll take a detailed look at what an activation function is and how it can be used in a Deep Learning model! Previously, we explored the fundamental concepts of Deep Learning: layer, neuron and weight. We discovered…