Author: Fritz

Tyleeseeuh seems to have endless lenses. And endless creativity. I went from a sunflower field to a virtual beach vacation before I’d finished my coffee (while wearing a crown of dinosaurs, of course). The creator said she uses lenses as her art form — from makeup looks not possible in reality to neon filters that mimic a sunset. She’s spent the past two years creating all sorts of lenses and filters and I managed to get a firsthand account of her journey.

Continue reading Snapchat Lens Creator Spotlight: Tyleeseeuh

Piotar Boa is probably the man behind your favorite lenses. Known for his vast clientele list and innovative AR lenses, he’s a Lens Creator and Spark AR Partner and has worked with numerous brands to bring new AR experiences to millions of viewers. We caught up with the busy Italian to learn more about how he views the industry and what he hopes to see in the future.

Continue reading Snapchat Lens Creator Spotlight: Piotar Boa

When training an artificial neural network (ANN), there are a number of hyperparameters to select, including the number of hidden layers, the number of hidden neurons per each hidden layer, the learning rate, and a regularization parameter. Creating the optimal mix from such hyperparameters is a challenging task.

Continue reading Selecting the Best Architecture for Artificial Neural Networks

Running deep learning models is computationally expensive. And when it comes to image processing with computer vision, the first thing that comes to mind is high-end GPUs—think the 1080ti and now the 2080ti.

But it’s hard to run computer vision models on edge devices like Raspberry Pi, and making a portable solution is difficult with deep learning libraries like TensorFlow or PyTorch.

Continue reading Real-Time Object Detection on Raspberry Pi Using OpenCV DNN

In this article, we’ll introduce the reader to Generative Adversarial Networks (GANs). We assume the reader has some prior experience with neural networks, such as artificial neural networks.

Here’s the plan of attack:

Continue reading Introduction to Generative Adversarial Networks (GANs): Types, and Applications, and Implementation

Below is a conversation about python class basics. To help follow along, you may need to understand Python functions.

Anita: Hi DarkAnita. I’ve been trying to improve my Python skills by using Python classes, but it just looks so much like gibberish to me. Python functions, I totally understand those…but classes? Do you understand them?

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A good data scientist is not one who knows all the fancy algorithms but one who knows that he/she is overfitting. We all have been through that time when our super awesome, fully tuned model has failed to live up to the expectations on Kaggle private LB or after deployment. Knowing how to get an unbiased estimate of the predictive power of our model is important. There are different validation strategies like holdout and cross validation which are commonly used in practice for this. But which strategy is appropriate in which scenario is something that needs more discussion and thought.

Continue reading Machine Learning Model Evaluation & Selection

In Android application development, we often need to pass data between fragments—i.e. from a listing fragment to a detailed fragment—to update values.

Passing data between fragments in Android is very common, and to do this task, we’ve traditionally used Interface.

But with the introduction of Android Jetpack, there’s a different way to move data between fragments. In this tutorial, we’ll take a closer look at ViewModel and see how it compares to Interface.

Continue reading Passing Data between Fragments on Android Using ViewModel

Machine learning can help us take the best route back home, find a product that matches our needs, or even help us schedule hair salon appointments. If we take an optimistic view, by applying machine learning in our projects, we can make our lives better and even move society forward.

Mobile phones are already a huge part of our lives, and combining them with the power of machine learning is something that, in theory, can create user experiences that delight and impress users. But do we really need to add machine learning to our apps? And if so, what tools and platforms are currently at our disposal? That’s what we’ll talk about in this article.

Continue reading Machine learning on mobile devices: 3 steps for deploying ML in your apps

Augmented reality (AR) is all the rage these days, with AR-based apps becoming better each day. And now, with the release of the new iPad Pro with a LiDAR scanner and the latest version of the ARKit framework (version 3.5), it’s more important than ever to understand what makes this amazing technology tick.

Continue reading How ARKit 3.5 Enables Immersive Augmented Reality Experiences on iOS