The identification of objects in images

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This is what we come to talk to you about in this post, don't miss it! You may also be interested in: Master in Data Science INDEX OF CONTENTS How Convolutional Neural Networks (CNN) began  is one of the classic problems of Artificial Intelligence . At the beginning of image identification technology .


machine learning was based on neural networks and was Phone Number List   more than enough to detect elements in small images, however, those same algorithms become inefficient when we increase the size of said images. The larger the image size, the greater the number of pixels that produce an exponential increase in the input variables (features) that are impossible.




To handle by a neural network or convolutional neural networks with traditional architecture. VIDEO How to eliminate barriers in Machine Learning and Deep Learning projects Discharge What are convolutional neural networks? Convolutional neural networks or convolutional neural networks (CNN) solve this problem since they assume certain spatial characteristics of the inputs that allow the network architectures to be simplified by greatly reducing the number of input variables.