Convolutional Neural Networks with Deeplearning4j

I am a developer, and I've (as you've) heard a lot about machine learning and neural networks ... and whenever I decide to take my first step, I find myself dealing with something like: They are also known as shift invariant or space invariant artificial neural networks (SIANN), based on their shared-weights architecture and translation invariance characteristics. This kind of explanations pushed me a while from moving on, until I read some articles and saw some talks (like this one), confirming that Machine learning should be more fun. Before continuing, please keep in mind that I'm not an expert,I'm far away from that, I'm just counting my very first steps and wanted to share my experience throughout this article about building and using CNN using Deeplearning4j. As a human, we intuitively know that pictures have a hierarchy or conceptual structure. Most importantly, we recognize the idea of a bird no matter what position the bird take.