2026-03-16
We will be reading the Deep Learning with R, Second Edition book. We will be using the new R code for the Third Edition of the Book.
Or if you choose to use Python, you will be reading the Deep Learning with Python, Third Edition book. You should also consider using the audio or video version of this book.
RStudio has written an R package tensorflow to access tensorflow.
See the RStudio tensorflow.
Here is the link to the keras and tensorflow websites.
Check out the tensorflow playground to experiment with neural networks.
Play with the different datasets and check to see how more nodes change the predictions and how more layers change the predictions. Be sure to watch how the Loss gets smaller.
In the Preface:
“radically democratize it”
“I wrote it with a focus on making the concepts behind deep learning, and their implementation, as approachable as possible. Doing so didn’t require me to dumb down anything—I strongly believe that there are no difficult ideas in deep learning. I hope you’ll find this book valuable and that it will enable you to begin building intelligent applications and solve the problems that matter to you.”
MNIST Problem
See the Chapter 2 code.
We will introduce.