course-content-dl

Why we included this project

The Neuromatch Academy deep learning course is built on this repository: a code-first curriculum that moves from the fundamentals of neural networks through CNNs, RNNs, transformers, continual learning, and reinforcement learning. Each topic is delivered as Jupyter notebooks with hands-on exercises, so a self-directed learner can work through the material at their own pace, and an instructor can lift individual tutorials straight into a syllabus. The content keeps a neuroscience angle throughout, which is useful for researchers and students who want to see how biological insights shape deep learning architectures. The notebooks are openly licensed and organized by week and day, so reusing a single session as a teaching block is straightforward. It is a learning resource rather than deployable software, but for anyone assembling a practical DL curriculum it is one of the most complete open options available.