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Deep Learning requires a lot of computations. It typically involves neural network(s) with many nodes, and every node has many connections — which must be updated constantly during the learning. In other words, at each layer of the network, hundreds and thousands of identical artificial neurons perform the same computation.

Therefore, the structure of a neural network fits very well with the kinds of computation that a GPU (Graphic Processing Unit) can efficiently perform — which are designed to compute, in parallel, the same instructions.

Continue reading “The 5 Deep Learning Frameworks Every Serious Machine Learner Should Be Familiar With”

Back when I first started using Photoshop, I’d waste hours between classes cropping out pictures of my friends and pasting their faces onto celebrities and teachers. My go-to method was using the Magic Wand tool to select a person, and then creating a crude mask to cut and paste onto another background. This had varying degrees of success and usually resulted in having to manually outline and erase unwanted pixels from my selection.

Continue reading Image Segmentation for Android — Smart Background Replacement with Fritz AI

As mobile application developers, we’re all aware that the app bundle size (APK/IPA) is always a matter of concern. This is especially true when it comes to developing with Xamarin—large bundle sizes is a well-known drawback with Xamarin apps. They can be really heavy! But then the question is, how do you deal with this? Let’s find out!

Continue reading Reducing iOS and Android App Size in Xamarin

The TensorFlow Dev Summit 2018 was full of exciting announcements and great tech talks. There’s a lot to digest and you can see the full live stream below.

For this post though, I’ve pulled out just the bits I think are most relevant to edge computing and mobile development using TensorFlow.

Continue reading “TensorFlow Dev Summit — Just the Mobile Bits”

Several weeks ago, we all watched as Redditors took on the hedge funds and the price of Gamestop’s stock (GME) rocketed up to $470 at its peak before coming back down to Earth.

During the craze, billions of dollars exchanged hands in a historic short squeeze that left millions of people asking — “do you have diamond hands?” The typical Internet forum lingo suddenly became part of our vernacular (for better or worse), as Redditors banded together to hold out for a moon shot.

Continue reading “Got Diamond Hands? Creating my first Snapchat Lens in honor of WSB”

Almost everything you need to know about how pose estimation works

Pose estimation is a computer vision technique that predicts and tracks the location of a person or object. This is done by looking at a combination of the pose and the orientation of a given person/object.

But why would you want to detect and track a person’s or object’s location? And how does pose estimation actually work? What are the different approaches, what are its potential benefits and limitations, and how might you use it in your business?

Continue reading “Pose Estimation Guide”