The Only Guide You'll Ever Need to Understand Neural Networks: Architectures, Learning Paradigms, and Real-World Use Cases

Summary This article provides a structured, all-in-one introduction to neural networks, guiding you through every major type by architecture (like CNNs, RNNs, Transformers), by task (classification, generation, image-to-image), and by learning paradi...