👉 Convolutional neural networks (CNNs) are a type of artificial neural network that is used for image classification and object recognition tasks. They consist of several layers, including convolutional layers, pooling layers, and fully connected layers. The convoluted nature of CNNs refers to the way in which they process images by applying filters or kernels on each pixel of an input image. This process allows them to learn patterns and features that are not easily visible to a human eye.
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What is the definition of Convolutional? 🙋
👉 Convolutional neural networks (CNNs) are a type of artificial intelligence algorithm that is used for image recognition tasks. They are composed of multiple layers, where each layer performs a specific operation on the input data, which is then fed into the next layer. The output of each layer is a vector representation of the input data, and the convolutional neural network learns to map these vectors onto a fixed-dimensional feature space. Convolutional neural networks can be used for various image tasks such as object
