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Fritz

  • Product Development
  • 2 Case Studies
Optimize, deploy, and manage machine learning on every mobile device and platform.

Mar 25

Powering Accessibility on iOS with SwiftUI and Machine Learning

Billions of people are using smartphones today—the devices are truly ubiquitous. Given this ubiquity, it’s essential to remember that some smartphone owners have poor vision, hearing aid, or…

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Apr 03

Card Scanner on Android Using Firebase ML Kit and CameraX

Machine learning has changed the way users interact with mobile applications. It offers brand new experience to users, making apps capable of leveraging various features such as providing accurate…

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Apr 03

Attention Model in an Encoder-Decoder

In a naive encoder-decoder model, one RNN unit reads a sentence, and the other one outputs a sentence, as in machine translation. But what can be done to improve this model’s performance? Here, we’ll…

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Apr 03

Building a Neural Network From Scratch Using Python (Part 2): Testing the Network

In the last post, you created a 2-layer neural network from scratch and now have a better understanding of how neural networks work. In this second part, you’ll use your network to make predictions…

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Case Studies
Case Study : Mdacne - Custom Acne Treatment

Help everyone get clear skin with the world's first fully customized acne treatment kit.

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Case Study : Plantvillage Nuru

Help African smallholder farmers grow more food.

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