Testing out Unity Platform and having fun with it 🤪

Deployed my first test game using Unity with Xcode and a physical test device. It’s very different than using just Swift and Xcode. Unity has so many features, it’s crazy. 🤪 So far, I have seen a few errors already on Xcode console (shaders and memory issues mainly) so will have to research those. My main focus at this time is to make sure i’ll be able to get a game deployed to the iOS app store using the Unity platform within a reasonable time frame.

https://unity.com

Storyboards for ML notebooks week(s)...

This week I’m spending most of my spare time organizing my ML notebooks into something I can apply to my projects for production. For example, a background art generation iOS/Mac app using a machine learning model that uses my personal artwork to help me create variations of my own artwork. I’ll also wondering about how to apply this to animation as well but that’s for later! 🤣🖌🖼

SwiftUI fun 😆 and machine learning adventures.

Recently went through all of the WWDC 2019 topics on SwiftUI and machine learning, and they are all really great. Since all of my projects are in various stages, I’m going to take the time to convert them to SwiftUI. This should also help me to work through and get a better understanding of different programming paradigms such as protocol oriented programming.

As far as machine learning goes, this is definitely an adventure. I’m currently working through Fast.ai’s Practical Deep Learning for Coders, v3 and it’s simply amazing! Its a top to bottom teaching approach so you’ll learn how to do things first then theory. The DeepLearning.ai courses are more bottom up approach and are just as amazing. Links below.

https://www.deeplearning.ai

https://www.fast.ai

First virtual race completed on Amazon's AWS Deep Racer circuit! 🏎 🤠

Tried out Amazon’s AWS Deep Racer virtual circuit last month and I was amazed on how easy and fun it was to do! I entered the May London Loop and ended up # 169 out of 859! Not too bad since this was my first time using AWS. AWS did a great job on how easy it is to set up and train a machine learning model on SageMaker, then use RoboMaker for the simulator, and handle all the backend connections. I’ll be trying out the Kumo Torakku race next since there is about 2 & 1/2 weeks left until it closes. 🤖

Racer name: StarlightDreamStudio

For more info on deep racer:

https://aws.amazon.com/deepracer/