In the vast realm of artificial intelligence, deep learning has emerged as a game-changer, especially in the field of image recognition. The ability of machines to recognize and categorize images, much like the human brain, has opened up a plethora of opportunities and challenges. Let's delve into the techniques deep learning offers for image recognition and the hurdles that come with them.
Convolutional Neural Networks (CNNs)
Technique: CNNs are the backbone of most modern image recognition systems. They consist of multiple layers of small neuron collections that process portions of the input image, called receptive fields. The results from these collections are then tiled so that they overlap, to obtain a better representation of the original image; this is a distinctive feature of CNNs.
