[GAN] #17 Apply Label Smoothing to Stabilize Training

[veeradi34]

To prevent the discriminator from becoming overly confident when identifying real images, implement label smoothing by slightly lowering the value of real labels (e.g., setting real labels to 0.9 instead of 1). This technique can make GAN training more stable by encouraging the discriminator to be less certain about its predictions.