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🍕 cleanup readme, PoC: K8s Quantum Tensorflow Machine Learning deployment in K8s

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Dr. Mia von Steinkirch 2022-10-13 10:54:42 -07:00 • committed by GitHub
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# Tensorflow Quantum + K8s # PoC: K8s Quantum Tensorflow Machine Learning deployment in K8s
<br>
## Theoretical Introduction ## Theoretical Introduction
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--- ---
<br>
## Steps: ## Steps:
### Prepare a quantum dataset ### Prepare a quantum dataset
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- After evaluating the cost function, the free parameters in the pipeline should be updated in a direction expected to decrease the cost. - After evaluating the cost function, the free parameters in the pipeline should be updated in a direction expected to decrease the cost.
- This is most commonly performed via gradient descent. - This is most commonly performed via gradient descent.
<br>
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* [TensorFlow Quantum](https://github.com/tensorflow/quantum/blob/master/docs/install.md). * [TensorFlow Quantum](https://github.com/tensorflow/quantum/blob/master/docs/install.md).
<br>
---- ----
### References ### References