google_cloud_platform
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| 1. Cloud Machine Learning Engine：用户自己提供算法。在本地機器上進行的機器學習訓練时data的整理和机器的scaling是很麻烦的，GCP可以自动帮忙做这些。 | 1. Cloud Machine Learning Engine：用户自己提供算法。在本地機器上進行的機器學習訓練时data的整理和机器的scaling是很麻烦的，GCP可以自动帮忙做这些。 | ||
| 2. Cloud AutoML、Natural Language和Vision等：用户提供Data。 | 2. Cloud AutoML、Natural Language和Vision等：用户提供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。 | + | 3. Cloud Speech-to-Text API、Cloud Video Intelligence等：Google训练完成的。用户不需要提供Data。 |
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| - | ###Note | + | ### Note |
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| - 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.1546590531.txt.gz · Last modified: 2019/01/04 16:28 by admin