The image recognition skill allows computers to process more information than the human eye, often faster and more accurately, or simply when people are not involved in looking. So, how can machines see and interpret the visual world?

0:00 How can machines see?
1:08 Differences between human and artificial neural networks
5:37 How convolutional neural networks (CNN) work?
7:39 How to train a deep learning model?
9:42 Where is computer vision used?

More about Computer Vision: https://www.altexsoft.com/blog/computer-vision-healthcare/
https://www.altexsoft.com/blog/image-recognition-neural-networks-use-cases/
https://www.altexsoft.com/blog/deep-learning/

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Sources:

[ 1 ] https://setosa.io/ev/image-kernels/
[ 2 ] https://www.altexsoft.com/case-studies/healthcare/altexsoft-builds-lung-diagnostics-tool/
[ 3 ] https://www.kaggle.com/nikhilpandey360/chest-xray-masks-and-labels
[ 4 ] https://www.ghsa.org/sites/default/files/2021-05/Pedestrian%20Traffic%20Fatalities%20By%20State%202020%20Preliminary%20Data%20Addendum%205-20-21.pdf
[ 5 ] https://www.gerberinjurylaw.com/blog/2021/june/autonomous-vehicle-statistics/
[ 6 ] https://www.independent.co.uk/life-style/gadgets-and-tech/news/india-police-missing-children-facial-recognition-tech-trace-find-reunite-a8320406.html
[ 7 ] https://www.interpol.int/en/How-we-work/Forensics/Facial-Recognition

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#computervision #artificialintelligence #neuralnetwork #neuralnetworks #convolutionalneuralnetwork