This video explains four reasons why deep learning has become so popular in past few years. In this deep learning tutorial python, I will cover following things in this video, 00:00 Introduction 00:24 Data growth 01:25 Hardware advancements 02:40 Python and opensource ecosystem 04:00 Cloud and AI boom I remember I did a project in my college 17 years ago and implemented error backpropogation algorithm in C++. Why is it that deep learning is taking off in recent years? The data growth due to IT adoption, IOT devices, social media is generating so much truth so that deep learning algorithms can really produce useful results. Neural network and deep learning shows its real power when training data size is huge. Due to advancements in hardwares such as GPU and TPUs one can run so many computations in parallel making it possible to run deep learning training in a reasonable amount of time. Python and opensource ecosystem on the other hand reduced the barries for people who don't know programming and they can try python with pytorch or tensorflow and write deep learning programs easily. One doesn't need to buy expensive hardware, they can rent a machine in a cloud and can still write machine learning programs. There is a prevalent AI boom in the businesses nowadays where all business executives want to benefit from artificial intelligence. This further accelerates the growth of deep learning. 🔖 Hashtags 🔖 #deeplearningwithpython #deeplearning #deeplearningtensorflow #deeplearningtutorialpython #deeplearningtutorial #deeplearningbegininer