Listing common network architectures
In the ever-evolving world of DL, network architectures serve as the blueprints for intelligence. Each architecture is a unique design, meticulously crafted to tackle specific challenges and excel in particular domains.
In this section, we’ll embark on a journey through the diverse terrain of NN architectures, from CNNs, which conquer image analysis, to RNNs, which master sequential data, and from the creative minds behind generative adversarial networks (GANs) to the memory-enhancing capabilities of long short-term memory (LSTM) networks. Here, we’ll list some common architectures and their applications.
Common networks
While explaining the distinctions between different network architectures is beyond the scope of this book, it is important to understand the basic differences between the most common networks. Here are some to keep in mind:
- ANNs: ANNs consist of interconnected nodes (neurons) organized in layers ...
