Category: Tensorflow

  • Google’s ML kit: Image recognition in Kotlin

    Google’s ML kit is the new firebase SDK that provides machine learning power to Android and iOS apps. The tool set includes: label image, text recognition, face detection, landmark recognition, barcode scanning and smart reply (coming soon at the time of writing). In this tutorial, I will show you how to set up the image […]

  • TensorFlow Image Recognition: train your own model

    TensorFlow is a powerful tool, and its image recognition model contains millions of parameters. To train a model from scratch, you will need a lot of data, but if you want to create a project, which recognizes an image with the labeling of “Molly-the dog”, rather than just “a dog”, or “Isabella wedding” rather than […]

  • TensorFlow Lite Image recognition: Android with Kotlin

    TensorFlow is a wonderful tool for machine learning, where its main purpose is designed for neural network models. When it comes to mobile, Google has provided us with two libraries: TensorFlow mobile and TensorFlow Lite. They both works on Android and iOS. While TensorFlow mobile is recommended to use for developers who have a pre-trained model (a trained model is like […]