Latest Resources in Convolutional NN

Convolutional NN

Using Convolutional Neural Networks to Classify Street Signs medium.com

Published December 8, 2019 under Machine Learning

Since the invention of the automobile, manufacturers have steadily added more safety features and improved car design over time with the goal of keeping drivers safer on the road. Automotive manufacturers have spent millions of dollars researching safety improvements for seatbelts, tires, and pretty much every car piece or part imaginable. Despite all of this investment, driving remains substantially more fatal than alternatives such as air travel in 2019. According to the National Safety Council, approximately 40,000 people died in automotive accidents in the United States alone in 2018. In fact, there were a total of ~500 deaths resulting from plane crashes recorded globally in 2018 — that’s 80 times fewer deaths when compared to car crash fatalities in the US only.

Reverse Image Search with Machine Learning commercetools.com

Published August 30, 2019 under Machine Learning

The Machine Learning team at commercetools is excited to release the beta version of our new Image Search API.

Image search (sometimes called reverse image search) is a tool, where given an image as a query, a duplicate or similar image is returned as a response. The technology driving this search engine is called computer vision, and advancements in this field are giving way to some compelling product features.

Keras Mask R-CNN pyimagesearch.com

Published June 18, 2019 under Machine Learning

In this tutorial, you will learn how to use Keras and Mask R-CNN to perform instance segmentation (both with and without a GPU).

Using Mask R-CNN we can perform both: Object detection, giving us the (x, y)-bounding box coordinates of for each object in an image; Instance segmentation, enabling us to obtain a pixel-wise mask for each individual object in an image.

CNNs, Part 2: Training a Convolutional Neural Network victorzhou.com

Published June 10, 2019 under Machine Learning

In this post, we’re going to do a deep-dive on something most introductions to Convolutional Neural Networks (CNNs) lack: how to train a CNN, including deriving gradients, implementing backprop from scratch (using only numpy), and ultimately building a full training pipeline!

An Introduction to Convolutional Neural Networks victorzhou.com

Published May 23, 2019 under Neural Networks

There’s been a lot of buzz about Convolution Neural Networks (CNNs) in the past few years, especially because of how they’ve revolutionized the field of Computer Vision. In this post, we’ll build on a basic background knowledge of neural networks and explore what CNNs are, understand how they work, and build a real one from scratch (using only numpy) in Python.

Build your first Convolutional Neural Network to recognize images toptal.com

Published March 30, 2019 under Neural Networks