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.