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Network Simulated Generation of Human Faces with Expressions and Orientations for Deep Learning Classification

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Figure

Fig. 1.   (top) A standard architecture of a Deep Learning convolutional neural network
Fig. 2.  Example of input for facial expression and orientation for case 1 and case 2
Fig. 6.  Result from GAN for case 1 at epoch 29800.
Fig. 15. Example of recognition for special case 3 (greyscale images).
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