This Workshop will teach you how to build deep learning models from scratch using real-world datasets with the TensorFlow framework. You will gain the knowledge you need to process a variety of data types, perform tensor computations, and understand the different layers in a deep learning model.
Using the Generator to Generate Fake Samples and Class Labels -- Evaluating the Discriminator Model -- Training the Generator and Discriminator -- Creating the Latent Space, Generator, Discriminator, GAN, and Training Data -- Exercise 11.02: Generating Sequences with GANs -- Deep Convolutional Generative Adversarial Networks (DCGANs) -- Training a DCGAN -- Exercise 11.03: Generating Images with DCGAN -- Activity 11.01: Generating Images Using GANs -- Summary -- Appendix -- Index.
E-book
