In this post, we will try to analyze how we can leverage the emergence of powerful sensors that we carry in our smartphones and the huge… | Continue reading
This year’s best photo editing, video editing, and GIF-making apps in the App Store | Continue reading
Signup here to get content like this delivered to your inbox each week! | Continue reading
Firebase’s ML Kit Android vs iOS on using DeltaML | Continue reading
Sales forecasting is one the most common tasks in many sales driven organizations. This activity enables organizations to adequately plan… | Continue reading
A replacement to Java? Is it any good? | Continue reading
Your cat is (not) grumpy! 😾 | Continue reading
We live in the world that’s still transitioning from inventions of the Renaissance to inventions of the modern technological era. A couple… | Continue reading
Companies across all industries are exploring the opportunities AI holds for their business models. While identifying first AI use cases… | Continue reading
Nothing frustrates me more than filling out a long form on my phone. The keyboard is too small and questions always feel redundant… | Continue reading
Machine learning, deep learning, neural networks, artificial intelligence. You can’t work a day in tech without coming across one of these… | Continue reading
After working on a couple of occasions with handwritten recognition I’m in total awe of this piece of technology. Just by sending an image… | Continue reading
In this tutorial, we’ll build a Python deep learning model that will predict the future behavior of stock prices. | Continue reading
We describe some essential hacks and tricks for practicing machine learning with Python. | Continue reading
6 powerful techniques that enable neural networks to run on mobile phones in real time. | Continue reading
Hi all! This post is a continuation of my earlier series: Machine Learning on Android using Firebase ML Kit. | Continue reading
Previous, I looked at the speed of Core ML models running on various Apple devices. The recent addition of the powerful neural engine in… | Continue reading
This year Apple introduced Core ML 2 at WWDC18, with a focus on making Machine Learning more flexible and powerful for developers to use. | Continue reading
7 stages of a machine learning model’s lifecycle to manage to deliver reliable, scalable mobile experiences. | Continue reading
Train your own mobile-ready style transfer model with Google Colab and Fritz | Continue reading
Many of your favorite mobile apps are currently using some form of neural networks and/or machine learning techniques to personalize your… | Continue reading
Firebase’s ML Kit vs Tesseract OCR on Android devices | Continue reading
and MobileNet-SSD | Continue reading
I’ve always thought of community as something akin to a party. A thing that forms largely by happenstance, where participants are… | Continue reading
In this article, I will introduce how to build your own real-time object recognition iOS app. Thanks to other people’s articles you can… | Continue reading
An Intro to Neural networks using TensorflowJS | Continue reading
In this tutorial, we’ll build a Recurrent Neural Network (RNN) in PyTorch that will classify people’s names by their languages. We assume… | Continue reading
Image segmentation is a computer vision task that labels each pixel in an image with the type of object it belongs to. We can use that… | Continue reading
We compared TesseractOCR & FirebaseML Kit on dataset of ~1000 images to check which of these libraries perform better & here are the… | Continue reading
In the last couple of years, machine learning has opened up new horizons in a wide range of industries, with advanced use cases emerging… | Continue reading
Recently, Apple showcased its new iPhone lineup, launching the iPhone XS, XS max, and XR. The most remarkable feature Apple included in… | Continue reading
Read Part 1 here | Continue reading
Read Part 1 here | Continue reading
On-device machine learning is gaining more and more traction among developers around the world. It’s now considered the best way to bring… | Continue reading
In this tutorial, we’ll cover how to implement the neural-style algorithm that’s based on this paper. | Continue reading
With the A11 Bionic’s Neural Engine in last year’s iPhone X, Apple introduced its first chip for hardware-accelerated AI. This year, Apple… | Continue reading
While TensorFlow Lite is amazing, it has certain shortcomings that surface when you’re trying to run a model containing custom operations… | Continue reading
Intro to NLP with NLTK | Continue reading
In this tutorial, we’ll cover how to convert a model in PyTorch to the ONNX format and then load it to Caffe2. We’ll then use Caffe2’s… | Continue reading
This is part two of a two-part series on counting crowds and lines with AI. Check out part one here. | Continue reading
With over 2 billion active Android devices and over 1 billion active iOS users, the mobile market provides the most engaging and… | Continue reading
In this tutorial we’ll cover XGBoost, a machine learning algorithm that has dominated the applied machine learning space recently. | Continue reading
Introduction | Continue reading
Neural networks have many practical use cases, from identifying street signs and people in self-driving cars to recognizing text and… | Continue reading
Have you tried photo editing apps like Prisma where you can apply artistic styles to any of your images? Creating filters or features like… | Continue reading
Regular attendees of tech conferences are well aware of pursuits to push machine learning by embracing and promoting it wherever (and… | Continue reading
Harnessing mobile machine learning and augmented reality to browse the Internet with hand gestures | Continue reading
Core ML is an interesting means for adding a pre-trained machine learning model to your app. But one question that nagged me after trying… | Continue reading