Author Description

Neural Network, Machine Learning, Deep Learning, Deep Neural Network, Artificial Neural Network, Recurrent/Convolutional/MLP.It all sounds very fancy but what does it really mean? How do I get a good basic understanding of these concepts? These questions i asked myself when i was new to the subject of Deep Learning. Everything seemed so complicated to me and as I was a complete beginner all the information I could find seemed to explain advanced mathematical equations that could as well have been written in Hieroglyphs as far as i was concerned. As I progressively learned how things related to each other, and how to understand the terminology used in the subject I realised the explanations could be simplified a lot to be much easier to grasp, just with some overall structure that anyone could understand.The goal of this book is to clarify some uncertainties and give you a solid foundation to be able to dig deeper into this incredibly exciting area of computer science.I present you to my basic model of what Deep Learning is and the general structure of how it works. Enjoy!