I wanted a local dataset to begin messing around with deep learning (and whatever the next hot technology will be in 6 months lol). Since most of my time is spent on electronic medical record (EMR) data, I decided to set out on finding a free dataset that I could leverage for my experimentations. Since I had to bounce around the net combining pieces of information to make this thing operational, I decided to write this post for myself and perhaps the passerby.
I’ve recently grown more interested in understanding deep learning (DL) and so I purchased Deep Learning in R from Manning Books along with its digital course taught by @Rick_Scavetta. It’s been very interesting and so naturally I was excited to try my hand at the “Hello, World!” of DL and play with the infamous MNIST dataset.
Summary Stats by Division Men Overall Course Stats How were the scores distributed per round? round hole par avg.score better eagles birdies pars bogeys doubles worse par.avg 1 1 5 5.380 0 0 1 30 18 1 0 0.
Summary Stats by Division Men How were the scores distributed per round? round hole par avg.score better eagles birdies pars bogeys doubles worse par.avg 1 1 5 4.800 0 2 23 34 9 2 0 -0.200 1 2 4 4.