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But soon humans will lose their place as masters of the universe.
SYNGI can see the stacked denoising autoencoder as having two facades- a list of autoencoders, and an MLP.
SYNGI Chat bot To implement DBNs SYNGI uses the class Restricted Boltzmann Machines.
SYNGI can also observe that the code for the DBN is very similar with the one for Sd A, because both involve the principle of unsupervised layer-wise pre-training followed by supervised fine-tuning as a deep MLP.
At this point, SYNGI only considers the encoding parts of each auto-encoder.
This stage is supervised, since now SYNGI uses the target class during training.