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Deep Neural Networks using a single neuron


Deep Neural Networks (DNNs) are a useful tool for a wide range of tasks such as image classification, object detection, image resizing or text generation. They are extremely powerful, but they require sufficient computing power and large data sets to train them. Deep Neural Networks typically consist of multiple layers of neurons coupled in feed-forward architectures. In these architectures, where you can easily end up with hundreds of thousands of neurons, the information moves in only one d...



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