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面试准备

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Estom
2021-04-19 15:24:05 +08:00
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Tensorflow/TensorFlow2.0/004.md
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# 初级

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Tensorflow/TensorFlow2.0/005.md
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# Keras 机器学习基础知识

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Tensorflow/TensorFlow2.0/009.md
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@@ -120,8 +120,6 @@ dataset['Japan'] = (origin == 3)*1.0
dataset.tail()
```
<devsite-iframe><iframe src="/tutorials/keras/regression_e0297b2db24ea564c306921a48f1bc40c18ddc626a86746db61cd82dbc3c3c20.frame" class="framebox inherit-locale " allowfullscreen="" is-upgraded=""></iframe></devsite-iframe>
### 拆分训练数据集和测试数据集
现在需要将数据集拆分为一个训练数据集和一个测试数据集。
@@ -157,8 +155,6 @@ train_stats = train_stats.transpose()
train_stats
```
<devsite-iframe><iframe src="/tutorials/keras/regression_ba0849c742fe92394897de4a92ca81859740311a71cec773244f86a46b761fea.frame" class="framebox inherit-locale " allowfullscreen="" is-upgraded=""></iframe></devsite-iframe>
### 从标签中分离特征
将特征值从目标值或者"标签"中分离。 这个标签是你使用训练模型进行预测的值。
@@ -305,8 +301,6 @@ hist['epoch'] = history.epoch
hist.tail()
```
<devsite-iframe><iframe src="/tutorials/keras/regression_52ac85b91795872c54d7abf74ad7251d16b43867b9d311b29a56d2648222a3f7.frame" class="framebox inherit-locale " allowfullscreen="" is-upgraded=""></iframe></devsite-iframe>
```py
def plot_history(history):
hist = pd.DataFrame(history.history)