[PDF][PDF] Convolutional networks for images, speech, and time series

Y LeCun, Y Bengio - The handbook of brain theory and neural …, 1995 - researchgate.net
The ability of multilayer back-propagation networks to learn complex, high-dimensional,
nonlinear mappings from large collections of examples makes them obvious candidates for
image recognition or speech recognition tasks (see PATTERN RECOGNITION AND
NEURAL NETWORKS). In the traditional model of pattern recognition, a hand-designed
feature extractor gathers relevant information from the input and eliminates irrelevant
variabilities. A trainable classi er then categorizes the resulting feature vectors (or strings of …