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i like that comma
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@@ -39,7 +39,7 @@ print(y.grad) # dz/dy
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### Neural networks?
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It turns out, a decent autograd tensor library is 90% of what you need for neural networks. Add an optimizer (SGD, RMSprop and Adam implemented) from tinygrad.optim, write some boilerplate minibatching code, and you have all you need.
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It turns out, a decent autograd tensor library is 90% of what you need for neural networks. Add an optimizer (SGD, RMSprop, and Adam implemented) from tinygrad.optim, write some boilerplate minibatching code, and you have all you need.
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### Neural network example (from test/test_mnist.py)
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