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All-topographic neural networks more closely mimic the human visual system
Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to ...
Embedded2y
Understanding convolutional neural networks
A subsequent article, “Training convolutional neural networks” discusses how CNN models are trained. Part 3 will examine a specific use case to test the model using a dedicated AI microcontroller.
Risk6y
Dilated convolutional neural networks for time series forecasting
We present a method for conditional time series forecasting based on an adaptation of the recent deep convolutional WaveNet architecture. The proposed network contains stacks of dilated convolutions ...
TechRadar2mon
What are convolutional neural networks?
A Convolutional Neural Network (CNN) is a form of artificial intelligence that plays a key role in the AI ecosytem due to its ability to analyze and understand visual data. The need to decipher ...
Time2mon
Convolutional Neural Networks (CNNs)
This article is published by AllBusiness.com, a partner of TIME. A Convolutional Neural Network (CNN) represents a sophisticated advancement in artificial intelligence technology, specifically ...