Tag Archives | classification

Human Activity Recognition with OpenCV and Deep Learning

In this tutorial you will learn how to perform Human Activity Recognition with OpenCV and Deep Learning. Our human activity recognition model can recognize over 400 activities with 78.4-94.5% accuracy (depending on the task). A sample of the activities can be seen below: archery arm wrestling baking cookies counting money driving tractor eating hotdog flying […]

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Detecting Natural Disasters with Keras and Deep Learning

In this tutorial, you will learn how to automatically detect natural disasters (earthquakes, floods, wildfires, cyclones/hurricanes) with up to 95% accuracy using Keras, Computer Vision, and Deep Learning. I remember the first time I ever experienced a natural disaster — I was just a kid in kindergarten, no more than 6-7 years old. We were […]

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Video classification with Keras and Deep Learning

In this tutorial, you will learn how to perform video classification using Keras, Python, and Deep Learning. Specifically, you will learn: The difference between video classification and standard image classification How to train a Convolutional Neural Network using Keras for image classification How to take that CNN and then use it for video classification How […]

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Stochastic Gradient Descent (SGD) with Python

In last week’s blog post, we discussed gradient descent, a first-order optimization algorithm that can be used to learn a set of classifier coefficients for parameterized learning. However, the “vanilla” implementation of gradient descent can be prohibitively slow to run on large datasets — in fact, it can even be considered computationally wasteful. Instead, we should apply Stochastic […]

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