Python Deep Learning Projects

Get focused and into the code!

We'll start by setting up your local DL 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 DL 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 preceding list, and by the end (and with the help of a bit of automated script), you'll have everything set up!