Managing the complete lifecycle of a deep learning project can be challenging, especially if you use multiple separate tools and services. For example,...
The following tutorial covers how to set up a state of the art deep learning model for image classification. The approach is based on the machine learning frameworks “Tensorflow” and “Keras”, and includes all the code needed to replicate the results in this tutorial. The prerequisites for setting up the model is access to labelled […]
The deployment of increasingly smarter chatbots, AI-powered virtual assistants and conversational AI technology has enabled organizations to increase customer engagement, save resources...
Introduction The biggest issue facing machine learning is how to put the system into production. Machine learning systems differ from traditional software in two fundamental ways: Machine learning is never fully deterministic; therefore, the performance of an ML system can’t be evaluated against a strict specification. Instead, it should always be evaluated against application-specific metrics (false […]
In this multi-part series, I’ll walk you through how I set up an on-premise machine learning pipeline with open-source tools and frameworks.Prologue: Model...
