fbpx

Speeding Up Deep Learning Inference Using TensorFlow, ONNX, and TensorRT

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Starting with TensorRT 7.0,  the Universal Framework Format (UFF) is being deprecated. In this post, you learn how to deploy TensorFlow trained deep learning models using the new TensorFlow-ONNX-TensorRT workflow. Figure 1 shows the high-level workflow of TensorRT. …

Speeding Up Deep Learning Inference Using TensorFlow, ONNX, and TensorRT Read More +

Deep Learning for Medical Imaging: COVID-19 Detection

This article was originally published at MathWorks’ website. It is reprinted here with the permission of MathWorks. I’m pleased to publish another post from Barath Narayanan, University of Dayton Research Institute (UDRI), LinkedIn Profile. Co-author: Dr. Russell C. Hardie, University of Dayton (UD) Dr. Barath Narayanan graduated with MS and Ph.D. degree in Electrical Engineering …

Deep Learning for Medical Imaging: COVID-19 Detection Read More +

What Is Object Detection?

This article was originally published at MathWorks’ website. It is reprinted here with the permission of MathWorks. 3 Things You Need to Know Object detection is a computer vision technique for locating instances of objects in images or videos. Object detection algorithms typically leverage machine learning or deep learning to produce meaningful results. When humans …

What Is Object Detection? Read More +

Learning to Rank with XGBoost and GPU

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. XGBoost is a widely used machine learning library, which uses gradient boosting techniques to incrementally build a better model during the training phase by combining multiple weak models. Weak models are generated by computing the gradient descent using …

Learning to Rank with XGBoost and GPU Read More +

The Guide to Machine Learning in Retail: Applications and Use Cases

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Introduction Artificial intelligence (AI) and machine learning (ML) are among the top technology trends in the retail world. They are having a great impact on the industry, in particular in e-commerce companies that rely on online sales, where …

The Guide to Machine Learning in Retail: Applications and Use Cases Read More +

Building a Real-time Redaction App Using NVIDIA DeepStream, Part 2: Deployment

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This post is the second in a series (Part 1) that addresses the challenges of training an accurate deep learning model using a large public dataset and deploying the model on the edge for real-time inference using NVIDIA …

Building a Real-time Redaction App Using NVIDIA DeepStream, Part 2: Deployment Read More +

Building a Real-time Redaction App Using NVIDIA DeepStream, Part 1: Training

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Some of the biggest challenges in deploying an AI-based application are the accuracy of the model and being able to extract insights in real time. There’s a trade-off between accuracy and inference throughput. Making the model more accurate …

Building a Real-time Redaction App Using NVIDIA DeepStream, Part 1: Training Read More +

Edge AI and Vision Alliance January 2020 Computer Vision Developer Survey (White Paper)

The PDF file linked to below is the white paper “Tools and Processors for Computer Vision: Selected Results from the Edge AI and Vision Alliance’s January 2020 Computer Vision Developer Survey”. For more information, please contact Jeff Bier at bier@edge-ai-vision.com. Edge AI and Vision Alliance January 2020 Computer Vision Developer Survey White Paper

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

Contact

Address

1646 North California Blvd.,
Suite 360
Walnut Creek, CA 94596 USA

Phone
Phone: +1 (925) 954-1411
Scroll to Top