| Figure 21.1 - GAN architecture.png | 62.3 KB | |
| Figure 21.2 - DCGAN TensorFlow 2 model architecture.png | 156 KB | |
| Figure 21.3 - A sample of synthetic Fashion-MNIST images.png | 277.5 KB | |
| Figure 21.4 - The components of the TimeGAN architecture.png | 34.1 KB | |
| Figure 21.5 - The TimeGAN input—six real stock prices series.png | 234 KB | |
| Figure 21.6 - TimeGAN output—six synthetic prices series and their real counterparts.png | 339.3 KB | |
| Figure 21.7 - 250 samples of real and synthetic data in two dimensions.png | 561.4 KB | |
| Figure 21.8 - Train and test performance of the time-series classifier over 250 epochs.png | 175.5 KB | |
| Figure 21.9 - Train and test performance of the time-series prediction model over 100 epochs.png | 144 KB | |
