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lect13,

Graph representation with applications to Neural Networks

Code from lecture

https://github.com/ucsb-cs24-w26/cs24-w26-lectures/tree/main/lect13

Watch the first 5 minutes of this intro video to Neural Networks: https://youtu.be/aircAruvnKk?feature=shared

Topics

• Graph: terminology and application to modeling neural networks
• Representation: adjacency list
• Connections to implementing a neural network (topic for pa03)
• Visualizing how a neural net is stored in memory and supporting data structures
• Designing the Graph class to allow building the graph iteratively by calling functions to add nodes and edges.