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
Related Conference of Convolutional Neural Networks
March 09-10, 2026
14th Global Summit on Artificial Intelligence and Neural Networks
Singapore City, Singapore
December 07-08, 2026
12th International Conference and Exhibition on Mechanical & Aerospace Engineering
Dubai, UAE
Convolutional Neural Networks Conference Speakers
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