After Effects typically values CPUS with lower core counts and higher frequencies, but in this article we will be comparing Intel’s Skylake-X CPUs (including the new Core i9 7920X 12 core) to AMD’s Threadripper CPUs in After Effects.


After Effects typically values CPUS with lower core counts and higher frequencies, but in this article we will be comparing Intel’s Skylake-X CPUs (including the new Core i9 7920X 12 core) to AMD’s Threadripper CPUs in After Effects.
I’m not a professional photographer and neither is my wife. Heck, we’re not even amateur photographers either. I’d say we’re more social photographers. Beyond the occasional spur of the moment, all our pictures are from special occasions like our kid’s birth, vacations, birthday parties, etc. I’d imagine many of you are similar. We’ve amassed thousand of photos throughout the years, and our current method of backing those up is burning them to a DVD.
There has to be a better way.
I was recently working on a video project at home when the power suddenly went out. While this is a not common occurrence where I live, it was great to have an Uninterruptible Power Supply save the day and give me time to do a proper save then system shutdown.

Vomund Photography uses a workstation from Puget Systems to deliver professional photography services for home builders, interior designers, architects, and land developers.
The post will implement Multinomial Logistic Regression. The multiclass approach used will be one-vs-rest. The Jupyter notebook contains a full collection of Python functions for the implementation. An example problem done showing image classification using the MNIST digits dataset.
Whenever I’m feeling confident that I’m successfully contributing to raising five children, my 13-year old daughter does something to jolt me back to reality. That the was the case this week as I sat in the car and gently honked the horn as a reminder she was going to be late for dance practice.

An analysis of NVIDIA Quadro GPU (video card) performance in Autodesk Revit 2018 using the RFO Benchmark.
This post will be mostly Python code with implementation and examples of the Logistic Regression theory we have been discussing in the last few posts. Examples include fitting to 2 feature data using an arbitrary order multinomial model and a simple 2 class image classification problem using the MNIST digits data.

Every time a new generation of CPUs is announced, I see a number of people writing about how they think it will be faster (or slower) than current technology because of the advertised specifications. CPU specs alone don’t tell the whole story, though, and comparing core count and clock speed across different brands or generations of processors is extremely misleading. Stop doing it!

Having issues with updating to Windows Update 1703? Are you on a Gigabyte X99 Motherboard? Try this workaround.