Code implementation of gain (4) -- gap dataset missing data filling based on GaN (sequence) [improved version]

On the basis of the above , Let's introduce based on GAN Of Spam Data set missing data filling Improved version . I hope to finish reading the above , Look at this article again. , And this article is mainly .

One 、Spam Introduce

Spam As mentioned above , No more details here .

Two 、GAIN structure

2.1 generator G

The generator passes through two hidden layers from the input layer , Finally reach the output layer , The hidden layer dimension is the same as the original data dimension ：