1. Introduction to deep learning(Regression, layer)
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Classical regression model
Linear regression model
The linear regression model has detected the interdependencies within this segment, which in turn influence the performance of the downstream activity.
Model with no interactions VS Model with interactions
non-interactive : parallel
interactions: are not required to be parallel, but they enable interaction.
How does deep learning capture interactions
可视化展示的数据来自真实的观测结果：
输入层：表示我们用来进行预测的特征变量（如年龄或收入）。
输出层：模型产生的预测结果。
无法直接从实际观测中获得的数据：
隐藏层：除输入层和输出层之外的所有层。
- Each unit in a hidden layer processes aggregated information from our input data and facilitates interaction capture within the model.
- The more nodes that exist, the more interactions it is capable of capturing.
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