Convolutional Neural Networks
In deep learning, convolutional neural networks (CNN) are most commonly applied to analyzing visual imagery and are regularized versions of multilayer perceptron which are fully connected networks to each neuron in one layer that is fixed to all neurons in the next layer. CNN has many applications like image and video recognition, recommender systems, image classification, medical image analysis, natural language processing, and financial time series.
- Receptive fields in the visual cortex
- Neural abstraction pyramid
- Electromyography (EMG) recognition
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