October 2017
Beginner to intermediate
270 pages
7h
English
Content preview from Machine Learning for Developers
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Origin of convolutional neural networks
Convolutional neural networks (CNNs) have a remote origin. They developed while multi-layer perceptrons were perfected, and the first concrete example is the neocognitron.
The neocognitron is a hierarchical, multilayered Artificial Neural Network (ANN), and was introduced in a 1980 paper by Prof. Fukushima and has the following principal features:
- Self-organizing
- Tolerant to shifts and deformation in the input
This original idea appeared again in 1986 in the book version of the original backpropagation paper, and was also employed in 1988 for temporal signals in speech recognition.
The design was improved ...
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