Back-Propagating Errors for Visual and Stereo Recognition
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Back-Propagating Errors for Visual and Stereo Recognition
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About this listen
The paper on backpropagation was published in 1986.
The paper presents a collaborative research effort focusing on back-propagation as a method for learning representations within neural networks. One document, "Learning representations by back-propagating errors (1).pdf," introduces the theoretical framework and mathematical underpinnings of this learning algorithm, explaining how connection weights in a network are adjusted based on the error between actual and desired outputs. The other text appears to be an excerpt from "Letters to Nature" titled "Bilateral amblyopia after a short period of reverse occlusion in kittens," which, while seemingly disparate in its title, likely contributes an applied example or a related biological context to the discussion of learning and neural pathways, possibly illustrating the plasticity of neural systems. Together, they offer insights into both the computational mechanics and potential real-world implications or biological analogues of back-propagation.