TensorFlow、Keras、Python 版本匹配一览表

兴冲冲装完软件，发现运行不了，查了下资料，发现是TensorFlow、Keras、Python 版本匹配问题。这里提供一个版本匹配清单，需要严格按此标准安装。

版本匹配清单

FrameworkEnv nameDescriptionTensorFlow 2.2tensorflow-2.2TensorFlow 2.2.0 + Keras 2.3.1 on Python 3.7.TensorFlow 2.1tensorflow-2.1TensorFlow 2.1.0 + Keras 2.3.1 on Python 3.6.TensorFlow 2.0tensorflow-2.0TensorFlow 2.0.0 + Keras 2.3.1 on Python 3.6.TensorFlow 1.15tensorflow-1.15TensorFlow 1.15.0 + Keras 2.3.1 on Python 3.6.TensorFlow 1.14tensorflow-1.14TensorFlow 1.14.0 + Keras 2.2.5 on Python 3.6.TensorFlow 1.13tensorflow-1.13TensorFlow 1.13.0 + Keras 2.2.4 on Python 3.6.TensorFlow 1.12tensorflow-1.12TensorFlow 1.12.0 + Keras 2.2.4 on Python 3.6.tensorflow-1.12:py2TensorFlow 1.12.0 + Keras 2.2.4 on Python 2.TensorFlow 1.11tensorflow-1.11TensorFlow 1.11.0 + Keras 2.2.4 on Python 3.6.tensorflow-1.11:py2TensorFlow 1.11.0 + Keras 2.2.4 on Python 2.TensorFlow 1.10tensorflow-1.10TensorFlow 1.10.0 + Keras 2.2.0 on Python 3.6.tensorflow-1.10:py2TensorFlow 1.10.0 + Keras 2.2.0 on Python 2.TensorFlow 1.9tensorflow-1.9TensorFlow 1.9.0 + Keras 2.2.0 on Python 3.6.tensorflow-1.9:py2TensorFlow 1.9.0 + Keras 2.2.0 on Python 2.TensorFlow 1.8tensorflow-1.8TensorFlow 1.8.0 + Keras 2.1.6 on Python 3.6.tensorflow-1.8:py2TensorFlow 1.8.0 + Keras 2.1.6 on Python 2.TensorFlow 1.7tensorflow-1.7TensorFlow 1.7.0 + Keras 2.1.6 on Python 3.6.tensorflow-1.7:py2TensorFlow 1.7.0 + Keras 2.1.6 on Python 2.TensorFlow 1.5tensorflow-1.5TensorFlow 1.5.0 + Keras 2.1.6 on Python 3.6.tensorflow-1.5:py2TensorFlow 1.5.0 + Keras 2.0.8 on Python 2.TensorFlow 1.4tensorflow-1.4TensorFlow 1.4.0 + Keras 2.0.8 on Python 3.6.tensorflow-1.4:py2TensorFlow 1.4.0 + Keras 2.0.8 on Python 2.TensorFlow 1.3tensorflow-1.3TensorFlow 1.3.0 + Keras 2.0.6 on Python 3.6.tensorflow-1.3:py2TensorFlow 1.3.0 + Keras 2.0.6 on Python 2.

附上一段测试程序（鸢尾花分类简化版）

这一段代码不需要准备数据文件，可直接验证是否可以训练模型。

import numpy as np
import keras
import matplotlib.pyplot as plt
from keras.models import Sequential
from keras.layers import Dense

train_x = np.array([[1.4, 0.2],
                        [1.7, 0.4],
                        [1.5, 0.4],
                        [2.3, 0.7],
                        [2.7, 1.1],
                        [2.6, 0.9],
                        [4.6, 1.3],
                        [3.5, 1.0],
                        [3.9, 1.2]])
train_y = np.array([[1, 0, 0],
                        [1, 0, 0],
                        [1, 0, 0],
                        [0, 1, 0],
                        [0, 1, 0],
                        [0, 1, 0],
                        [0, 0, 1],
                        [0, 0, 1],
                        [0, 0, 1]])

model = Sequential()
model.add(Dense(units = 2, input_dim = 2))

model.add(Dense(units = 3, activation = 'softmax'))

model.compile(optimizer = 'adam', loss = 'mse')

model.fit(x = train_x, y = train_y, epochs = 10000)

keras.models.save_model(model, 'iris2.model')

Original: https://blog.csdn.net/quicmous/article/details/124328289
Author: 许野平
Title: TensorFlow、Keras、Python 版本匹配一览表