1. A computational technique in automatic differentiation that computes gradients by propagating derivatives backward from outputs to inputs, commonly used in machine learning and neural networks
Reverse accumulation is the method behind backpropagation in deep learning frameworks.
A acumulação reversa é o método por trás da retropropagação em frameworks de aprendizado profundo.
2. In mathematics and computer science, a method of computing partial derivatives by traversing a computational graph in reverse topological order
The algorithm uses reverse accumulation to efficiently calculate gradients for optimization.
O algoritmo usa acumulação reversa para calcular eficientemente gradientes para otimização.