Quickstart: Run a calculation on a Cloud TPU VM by using TensorFlow | Google Cloud
cloud.google.com · 867 words · saved by 1 readers
Learn how to create a Cloud TPU, install TensorFlow and run a simple calculation on a Cloud TPU.
Home Documentation AI and ML Cloud TPU Guides Send feedback Training Resnet50 on Cloud TPU with PyTorch Stay organized with collections Save and categorize content based on your preferences. Caution: This page applies to the Cloud TPU API, which is no longer under active development. The Cloud TPU API will receive bug fixes and security updates only. For the latest features and support for the latest TPU versions, we recommend using Compute Engine or Google Kubernetes Engine to manage TPU resources. For more information, see TPU resources in Compute Engine and About TPUs in GKE . The Cloud TPU
saved by
related reading
- Introduction to Cloud TPU | Google Cloud Documentationcloud.google.com
- Tiny TPUtinytpu.com
- How to Think About TPUs | How To Scale Your Modeljax-ml.github.io
- TPU Deep Divehenryhmko.github.io
- A Recipe for Training Neural Networkskarpathy.github.io
- PiTorch: ML on Baremetal Raspberry Pis | projectsmasonjwang.com
- GitHub - mrdbourke/cs329s-ml-deployment-tutorial: Code and files to go along with CS329s machine learning model deployment tutorial.github.com
- PyTorch in One Hour: From Tensors to Training Neural Networks on Multiple GPUssebastianraschka.com
- Let's build GPT: from scratch, in code, spelled out.youtube.com
- Get Startedpytorch.org
- GitHub - google-research/tuning_playbook: A playbook for systematically maximizing the performance of deep learning models.github.com
- A Recipe for Training Neural Networkskarpathy.github.io