Chapter 1: Introduction to Deep Learning

Deep learning is a subset of machine learning that relies heavily on neural networks with multiple layers.

Key Takeaways

• The historical context of connectionism and how it evolved into modern deep learning.
• The definition of a Perceptron and its limitations (e.g., the XOR problem).
• Why depth matters for learning complex representations.