Introduction: Teaching Networks to Generate Digits
Explore how to build and train Deep Belief Networks for digit generation. Understand loading and processing the MNIST dataset, training Restricted Boltzmann Machines to model data, stacking RBMs for pretraining, and applying backpropagation fine-tuning using TensorFlow 2. This lesson equips you with foundational skills in generative modeling of image data.
We'll cover the following...
We'll cover the following...
In this chapter, our first project will recreate one of the most groundbreaking models in the history of deep learning, the deep belief network (DBN). DBN was one of the first multi-layer networks for which a feasible learning ...