MNIST Demos on Yann LeCun's website
Invariance translation (anim) scale (anim) rotation (anim) squeezing (anim) stroke width (anim) Noise Resistance noisy 3 and 6 noisy 2 (anim) noisy 4 (anim) Multiple Character various stills dancing 00 (anim) dancing 384 (anim) Complex cases (anim) 35 -> 53 12 -> 4-> 21 23 -> 32 30 + noise 31-51-57-61 LeNet-5 is our latest convolutional network designed for handwritten and machine-printed character recognition. Here is an example of LeNet-5 in action. Many more examples are available in the column on the left: Several papers on LeNet and convolutional networks are available on my publication page: Yann LeCun
Back to Yann's Home Publications LeNet-5 Demos Unusual Patterns unusual styles weirdos Invariance translation (anim) scale (anim) rotation (anim) squeezing (anim) stroke width (anim) Noise Resistance noisy 3 and 6 noisy 2 (anim) noisy 4 (anim) Multiple Character various stills dancing 00 (anim) dancing 384 (anim) Complex cases (anim) 35 -> 53 12 -> 4-> 21 23 -> 32 30 + noise 31-51-57-61 LeNet-5, convolutional neural networks Convolutional Neural Networks are are a special kind of multi-layer neural networks. Like almost every other neural networks they are trained…
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