New notes on using ML to generalize from small amounts of training data: attacking MNIST with just 10 training examples for each digit. 93.81% accuracy: http://cognitivemedium.com/rmnist_anneal_ensemble …
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This looks like an interesting side project!
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I love PyTorch and would never go back to TF. Also... quantum computing eh? We should talk! :)
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