Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
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MemoryFormer: Minimize Transformer Computation by Removing Fully-Connected Layers
Neural Information Processing Systems
However, the model size and corresponding computational complexity are constantly scaled up in pursuit of higher performance.
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