Different seed values can give significantly different results, but you shouldn't try to fine-tune the model by adjusting the seed parameter. Behind the scenes, the autoencoder uses tanh() activation ...

The seed value is used to initialize the autoencoder weights and biases to small random values. Different seed values can give significantly different results, but you shouldn't try to fine tune the ...