DenseNet Paper Walkthrough: All Connected

# DenseNet: Solving the Problem of Teaching Very Deep AI Models Deep artificial intelligence models sometimes struggle to learn effectively because the training process gets bogged down—imagine trying to improve a system so complex that each adjustment has almost no effect on the final result. DenseNet is a technique that solves this problem by connecting layers of the model in a special way, allowing improvements to flow through the system more smoothly and making it easier to train powerful AI systems without hitting this learning roadblock.
When we try to train a very deep neural network model, one issue that we might encounter is the vanishing gradient problem. This is essentially a problem where the weight update of a model during training slows down or even stops, hence causing the model not to improve. When a network is very deep,
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