我对深度学习很陌生，只想知道使用DEEPXDE库的最低硬件要求是什么？DEEPXDE 库(使用Tensor Flow 1)用于解决PDEs。
谷歌Colab将是一个完美的开始。Colab笔记本在谷歌的云服务器上执行代码，这意味着你可以利用谷歌硬件的力量，包括 GPUs 和 TPUs，不管你的机器功率如何。
下面我在Colab中测试了这个库--。
代码 -
!pip install deepxde
产出 -
Collecting deepxde
Downloading https://files.pythonhosted.org/packages/7b/4c/3a843eddc7e7d10b2a302bc431387e883ce91d9b1e0c20aed96e1a3f9253/DeepXDE-0.7.0-py3-none-any.whl (62kB)
|████████████████████████████████| 71kB 2.3MB/s
Requirement already satisfied: matplotlib in /usr/local/lib/python3.6/dist-packages (from deepxde) (3.2.1)
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Requirement already satisfied: scikit-learn in /usr/local/lib/python3.6/dist-packages (from deepxde) (0.22.2.post1)
Collecting salib
Downloading https://files.pythonhosted.org/packages/f7/33/cee4d64f7c40f33c08cf5ef5c9b1fb5e51f194b5deceefb5567112800b70/SALib-1.3.11.tar.gz (856kB)
|████████████████████████████████| 860kB 6.4MB/s
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Building wheels for collected packages: salib
Building wheel for salib (setup.py) ... done
Created wheel for salib: filename=SALib-1.3.11-py2.py3-none-any.whl size=729664 sha256=28abc8a489a7bb46fe5eb62b715ef9878534da59e9f5cc0232b64db95359d1a4
Stored in directory: /root/.cache/pip/wheels/62/ed/f9/a0b98754ffb2191b98324b96cbbeb1bd5d9598b39ab996b429
Successfully built salib
Installing collected packages: salib, deepxde
Successfully installed deepxde-0.7.0 salib-1.3.11
接下来，我导入了安装好的库-
代码 -
%tensorflow_version 1.x
import deepxde
产出 -
TensorFlow 1.x selected.
Using TensorFlow 1 backend.
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/deepxde/losses.py:19: The name tf.losses.softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.softmax_cross_entropy instead.
希望能回答你的问题。祝您学习愉快。