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A study of the use of the Tensorflow GradientTape class for differentiation and custom gradient generation along with its use to implement a Deep-Convolutional Generative Adversarial Network (GAN) to generate images of hand-written digits.
This model is basically used for deep learning.In this models i have used DCGANs and it are more powerful then ordinary GANs. Output image are saved at every 100 epochs which are stored in gan_images folder. Well I had not uploaded every images in it.Images within 9000 epochs are included in it. It will take almost 1 or 2 days to learn or to tra…
GAN is one of the Deep Learning technique used to generate some new data from scratch. It runs in unsupervised way meaning that it can run without labelled by human. It will make the data based on the pattern that it learns.