This series is excerpts from a Webinar tutorial series I have conducted as part of the United Network of Professionals. Many applications as of today have tensorflow embedded as part of their machine learning applications. Let's explore the tensorflow environment and how the flexible architecture makes implementation so easy. This means you can execute code locally in your laptop with a CPU of a GPU if you have one.

Generally when I think of artificial intelligence I use a bit of skepticism before arriving at the conclusion that the Terminator movies are an unlikely end to the human race. Not that the movies aren't great but Hollywood has missed the boat on AI in so many examples of real world AI application that it is doubtful that many people have grasped the reality of it all. Watson, an IBM supercomputer now quite well known for it's Jeaopardy performance some time back is an example of primarily safe AI development and as it adapts machine learning to master answering questions most of us can't conceive of a present danger that we can actually explain. What Watson does differently from most AI isn't dangerous, in fact it mostly weighs questions and seeks answers by checking the data it has related to the question. It doesn't manipulate anyone elses coffee maker anywhere, it doesn't close garage doors on puppies.