Welcome to Your AI, ML & Python Programming Hub
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Organize Gradle files with multi-module project
I have found a better way to organize Gradle files, it is useful for multi-module projects, where dependencies are duplicated. So instead of using a long list of implementations, we can group them into an array and import it as functions, here are the steps: Step 1: Create a dependency.gradle file in your project level folder, […]
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Google’s ML Kit: Text recognition with sample app of receipts reading
Google has published a few AI kit and one of them is text recogition, which I decided to try it out using a sample Android app to read receipts. The target is to be able to recognise: total, VAT and type. Full code can be found here. Step 1: Groundworks First of all, we need […]
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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 […]
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Build Android project with multi flavour on Jitpack
Lately my team has built an Android project that needs to run on multiple channels and platform: Google, Amazon, mobile, tablet and TV. It took us sometime to plan to enable us working in parallel within tight Sprint schedule. At the end we designed a structure that includes a core module which is shared on […]
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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 […]
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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 […]
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Why I am so enthusiastic about the Oracle Commerce cloud
After spending years and years working on Oracle Commerce implementations for big multinationals, I got used to big implementations lasting 1 year or more, where millions of pounds is the budget available for a typical implementation. However nowadays speed to market and cost is everything, with the likes of Demandware offering those type of solutions, […]
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What’s new in ATG 11.2
Today, at Oracle Open World 2015 Ian Davis, Senior Director at product management for Oracle Commerce provided a summarised description on what is inside the new version of Oracle Commerce 11.2: 1. Time based pricing – future pricing2. Promotions with support for fractional unit of measures3. Marketing cloud integration(responsys)4. Dynamic Item Types5. Projects for experience manager […]
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