google_cloud_platform
Differences
This shows you the differences between two versions of the page.
| Both sides previous revision Previous revision Next revision | Previous revision | ||
|
google_cloud_platform [2019/01/04 16:28] admin |
google_cloud_platform [2019/01/04 16:29] (current) admin |
||
|---|---|---|---|
| Line 35: | Line 35: | ||
| 3. Cloud Speech-to-Text API、Cloud Video Intelligence等：Google训练完成的。用户不需要提供Data。 | 3. Cloud Speech-to-Text API、Cloud Video Intelligence等：Google训练完成的。用户不需要提供Data。 | ||
| - | ###Note | + | ### Note |
| - Unordered List Item Google Cloud ML使用的 ML frameworks: TensorFlow, scikit-learn, XGBoost, Keras. | - Unordered List Item Google Cloud ML使用的 ML frameworks: TensorFlow, scikit-learn, XGBoost, Keras. | ||
| - 谷歌自己研发的ML专用芯片 —— TPU：the TPU is on average about 15X-30X faster than its contemporary GPU or CPU, with TOPS/Watt about 30X - 80X higher. Moreover, using the GPU’s GDDR5 memory in the TPU would triple achieved TOPS and raise TOPS/Watt to nearly 70X the GPU and 200X the CPU. [[https://arxiv.org/pdf/1704.04760.pdf]] | - 谷歌自己研发的ML专用芯片 —— TPU：the TPU is on average about 15X-30X faster than its contemporary GPU or CPU, with TOPS/Watt about 30X - 80X higher. Moreover, using the GPU’s GDDR5 memory in the TPU would triple achieved TOPS and raise TOPS/Watt to nearly 70X the GPU and 200X the CPU. [[https://arxiv.org/pdf/1704.04760.pdf]] | ||
google_cloud_platform.1546590496.txt.gz · Last modified: 2019/01/04 16:28 by admin