Understanding Deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras

Deep learning is one of the most exciting artificial intelligence topics. It's a family of algorithms loosely based on a biological interpretation that have proven astonishing results in many areas: computer vision, natural language processing, speech recognition and more. Over the past five years, deep learning expanded to a broad range of industries. Many recent technological breakthroughs owe their existence to it. To name a few: Tesla autonomous cars, photo tagging systems at Facebook, virtual assistants such as Siri or Cortana, chatbots, object recognition cameras.