Introduction: Building Blocks of Deep Neural Networks

Explore the foundational building blocks of deep neural networks to understand how generative AI models are constructed. Learn about key architectures like perceptrons, CNNs, RNNs, and their activation functions, along with optimization algorithms and parameter initialization techniques. This lesson helps you grasp the components and training principles behind advanced neural networks used in generative AI.