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.
We'll cover the following...
The wide range of generative AI models that we will implement in this course are all built on the foundation of advances in deep learning and neural networks over the last decade. While in practice, we could implement these projects without reference to historical developments, it will give you a richer understanding of how and why these models work to retrace their underlying components.
In this chapter, we’ll dive into this background, showing you how generative AI models are built from the ground up, how smaller units are ...