Running Keras models on iOS with CoreML - PyImageSearch

Today, we're going to take this trained Keras model and deploy it to an iPhone and iOS app using what Apple has dubbed "CoreML", an easy-to-use machine learning framework for Apple applications: My goal today is to show you how simple it is to deploy your Keras model to your iPhone and iOS using CoreML. To be clear, I'm not a mobile developer by any stretch of the imagination, and if I can do it, I'm confident you can do it as well. Feel free to use the code in today's post as a starting point for your own application. But personally, I'm going to continue the theme of this series and build a Pokedex. A Pokedex is a device that exists in the world of Pokemon, a popular TV show, video game, and trading card series (I was/still am a huge Pokemon nerd). Using a Pokedex you can take a picture of a Pokemon (animal-like creatures that exist in the world of Pokemon) and the Pokedex will automatically identify the creature for for you, providing useful information and statistics, such as the Pokemon's height, weight, and any special abilities it may have. You can see an example of a Pokedex in action at the top of this blog post, but again, feel free to swap out my Keras model for your own -- the process is quite simple and straightforward as you'll see later in this guide.