GPUvsTPU.ipynb - Google Colaboratory (Colab)
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TPUs are tensor processing units developed by Google to accelerate operations on a Tensorflow Graph. Each TPU packs up to 180 teraflops of floating-point ... Signin
延伸文章資訊
- 1五分鐘學會在Colab上使用免費的TPU訓練模型 - 資料科學實驗室
... 而除了GPU之外,大家一定很想使用Google所推出的Google Cloud TPU來做機器學習模型,重點它很貴,能不能免費的使用他呢?使用Colab就是首選了。
- 2When to use CPUs vs GPUs vs TPUs in a Kaggle Competition?
- 3Colab提供了免費TPU,機器之心幫你試了試 - 每日頭條
雖然代碼不太一樣,但直覺上它的計算量應該和上面的代碼相同,因此大致上能判斷Colab 提供的GPU、TPU 速度對比。 import tensorflow as tf import numpy ...
- 4Comparing GPU and TPU training performance on Google ...
... training time on the TPU accelerator is compared to the existing GPU (NVIDIA K80) accelerator...
- 5Comparing GPU and TPU training performance on Google ...