Information processing in the Deep Neural Network: the content of the image (the handwritten number 3) is read. The intermediate layers take in the information one after the other. In the process, it is distributed to the artificial neurons. In the final stage, the output layer outputs a number, which should match the input value. The artificial neurons specialise: one neuron becomes active when, for example, a three is shown, another neuron becomes active when a nine is shown. Photo: David Ehrlich
Information processing in the Deep Neural Network: the content of the image (the handwritten number 3) is read. The intermediate layers take in the information one after the other. In the process, it is distributed to the artificial neurons. In the final stage, the output layer outputs a number, which should match the input value. The artificial neurons specialise: one neuron becomes active when, for example, a three is shown, another neuron becomes active when a nine is shown. Photo: David Ehrlich Göttingen research team explores information processing in Deep Neural Networks Artificial neural networks are everywhere in research and technology, as well as in everyday technologies such as speech recognition. Despite this, it is still unclear to researchers what is exactly going on deep down in these networks.
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