ThunderKittens is a framework to make it easy to write fast deep learning kernels in CUDA. It is built around three key principles: ThunderKittens is built from the hardware up; we do what the silicon ...
The example will be the MNIST handwritten digit classification task. We will train 3 different models to solve this task: A TensorFlow neural network model. A scikit-learn random forest model. An R ...
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