PyTorch

Machine Learning

How to Retrain SSD Object Detection Model with Pytorch PART – 1

Interesting tutorial on transfer learning. Transfer Learning with Pytorch Transfer learning is a technique for re-training a DNN model on a new dataset, which takes less time than training a network from scratch. With transfer learning, the weights of a pre-trained model are fine-tuned to classify a customized dataset. In these examples, we’ll be using […]

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AI

Learn PyTorch for deep learning in a day. Literally.

All code on GitHub – https://dbourke.link/pt-github

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Natural Language Processing

Intro to Natural Language Processing (NLP)

This course provides an introduction to the field of Natural Language Processing (NLP) with a focus on sentiment analysis and text classification using artificial neural networks. In this lesson, we’ll get introduced to the field of Natural Language Processing, otherwise known simply as NLP.

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AI Data Science Red Hat

Open Data Hub – the origin story (part 2)

In part 2 of the Open Data Hub origin story, fellow Red Hatters Steven Huels and Sherard Griffin describe some of the technical challenges and growth of the Open Data Hub AI meta-project, evolving Elastic Search to multiple data discovery technologies. The evolution to a commercial service offering, Red Hat OpenShift Data Science is also […]

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AI Data Red Hat

Open Data Hub – the origin story (part 1)

Fellow Red Hatters Steven Huels and Sherard Griffin describe how the Open Data Hub meta-project grew from solving practical CI/CD build challenges to where it is today – providing an integrated blueprint stitching together over 20 open source AI tools for running large and distributed AI workloads on OpenShift. Part 1 of a 2 part […]

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