In this tutorial, you will learn how to train your own traffic sign classifier/recognizer capable of obtaining over 95% accuracy using Keras and Deep Learning. Last weekend I drove down to Maryland to visit my parents. As I pulled into their driveway I noticed something strange — there was a car I didn’t recognize sitting […]
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Need help getting started with Computer Vision, Deep Learning, and OpenCV? Check out my step-by-step guides! What do you need help with? How Do I Get Started? Deep Learning Face Applications Optical Character Recognition (OCR) Object Detection Object Tracking Instance Segmentation and Semantic Segmentation Embedded and IoT Computer Vision Computer Vision on the Raspberry Pi […]
Whether you’re interested in learning how to apply facial recognition to video streams, building a complete deep learning pipeline for image classification, or simply want to tinker with your Raspberry Pi and add image recognition to a hobby project, you’ll need to learn OpenCV somewhere along the way. The truth is that learning OpenCV used […]
In today’s blog post we are going to create a deep learning REST API that wraps a Keras model in an efficient, scalable manner. Our Keras + deep learning REST API will be capable of batch processing images, scaling to multiple machines (including multiple web servers and Redis instances), and round-robin scheduling when placed behind […]
If you’ve been following along with this series of blog posts, then you already know what a huge fan I am of Keras. Keras is a super powerful, easy to use Python library for building neural networks and deep learning networks. In the remainder of this blog post, I’ll demonstrate how to build a simple neural […]