We'll start by setting up your local Deep Learning environment. Much of the work that you'll do can be done on local machines. But with large datasets and complex model architectures, processing time slows down dramatically. This is why we are also setting up a Deep Learning environment in the cloud because the processing time for these complex and repetitive calculations just becomes too long to be able to efficiently get things done otherwise.  

We will work straight through the list above and by the end (and with the help of a bit of automated script) you'll have everything set up!