Google introduces LocoProp, a new framework that re-conceives Neural Networks as Modular Composition of Layers

Backpropagation has been the gold standard for updating the weights of Neural Networks and optimizing them since, well forever. Google has recently introduced a new framework, which they call LocoProp for optimizing deep neural networks more efficiently. LocoProp re-conceives Neural Networks as a Modular Composition of Layers and decomposes Neural Networks into separate layers with …

Google introduces LocoProp, a new framework that re-conceives Neural Networks as Modular Composition of Layers Read More »