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Yann Lecun changed computer vision and, for that matter, artificial intelligence forever with CNNs, as Kumar Gandharv, PGD in English Journalism (IIMC, Delhi) reports.
Photo: Analytics India Magazine
LeNet, developed by French computer scientist Yann Lecun, was the frontrunner to the convolutional neural network (CNN). His breakthrough came when he conceived a neural network modelled on the human visual cortex. He called it a convolutional neural network, inspired by Kunihiko Fukushima, a Japanese computer scientist. CNNs process an image by dividing it into squares, analysing each one separately to find small patterns, and later piecing them together to make sense, just like the human brain’s visual cortex.
The Turing award winner changed computer vision and, for that matter, artificial intelligence forever with CNNs.
Convolutional neural networks are made of multiple layers of artificial neurons that calculate the weighted sum of various inputs and produces an activation value. The primary application areas of CNN include image recognition, image classification, object detection, and face recognition.
Here, we have curated a list of the top best books to learn CNNs.
Source: Analytics India Magazine
