From the course: Cloud Quantum Computing Essentials
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Cloud quantum neural networks: MNIST
From the course: Cloud Quantum Computing Essentials
Cloud quantum neural networks: MNIST
- [Instructor] This next example might surprise you a little bit coming from the Google samples. As some of the, what I call reference applications, such as Shor's algorithm for regular quantum computing, or hello worlds for neural networks, are reference programs, MNIST is definitely a reference program for neural networks. It's used basically as an example to gauge how to use a neural network library such as TensorFlow or PyTorch, or many of the other ones out there, and it's used for performance testing as kind of a basic level. So Google has an interesting sample here in TensorFlow Quantum with MNIST classification. So MNIST, if you are not familiar, it is a digit classification, it's handwritten digits, zero through nine, and they are then encoded so they can be computed against and then a neural network is built, and then a new train, and new data is submitted and then classified, and then you look at the obviously time…
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