Tag: image recognition
Finding the dominant colors in an image with k-means
Working with images can be a very time-consuming task, especially if you have many images to work on. Machine learning can thus be a great time-saver for various image analysis and editing tasks, such as finding the dominant colors of an image thanks to the K-means clustering algorithm.
Guide to real Machine Learning applications
This series of articles dives deeper into the actual applications of Machine Learning that are currently in use in many current technological processes and devices. Through these posts entitled “Machine Learning is Fun!”, Adam Geitgey guides us step by step through the concepts, data, algorithms, code, results and pitfalls of machine learning applications from image,…
12b: Deep Neural Nets
Image recognition by a deep neural net Convolution: a neuron looks for patterns in a small portion (10×10 px) of an image (256×256 px), the process is repeated by moving this small area little by litte. Pooling: The result of the convolution is computed as a point for each portion analyzed. By a similar step…