Tag

computer vision

From Machine Learning to Automated Machine Learning

From Automated Machine Learning in Action by Qingquan Song, Haifeng Jin, and Xia Hu

This article covers

•   Defining and introducing the fundamental concepts of machine learning

•   Describing the motivation for and high-level concepts of automated machine learning

Istio Ingress Gateway

A Chief Architect of cloud applications at Red Hat, Christian Posta, demonstrates why it’s important to have very fine-grained control over what traffic enters your service-mesh cluster and how to use the Istio Gateway to do this.

Shallow Transfer Learning in NLP

From Transfer Learning for Natural Language Processing by Paul Azunre

This article delves into using shallow transfer learning to improve your NLP models.

Getting Started with Baselines

From Transfer Learning for Natural Language Processing by Paul Azunre

This article discusses getting started with baselines and generalized linear models.

Improving NLP Model Training Time and Efficiency

From Transfer Learning for Natural Language Processing by Paul Azunre

The Computer Vision Pipeline, Part 5: Classifier learning algorithms and conclusion

From Deep Learning for Vision Systems by Mohamed Elgendy

The Computer Vision Pipeline, Part 4: feature extraction

From Deep Learning for Vision Systems by Mohamed Elgendy

In this part, we will take a look at feature extraction—a core component of the computer vision pipeline.

The Computer Vision Pipeline, Part 3: image preprocessing

From Deep Learning for Vision Systems by Mohamed Elgendy

In this part, we will delve into image preprocessing for computer vision systems.

The Computer Vision Pipeline, Part 2: input images

From Deep Learning for Vision Systems by Mohamed Elgendy

In this part, we will discuss the input images for computer vision systems.

Computer Vision Pipeline, Part 1: the big picture

From Deep Learning for Vision Systems by Mohamed Elgendy

In this article, we’ll zoom in on the interpreting device component (of a computer vision system) to take a look at the pipeline it uses to process and understand images.

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