Categoria: Deep Learning

Understanding computational graphs and automatic differentiation is key to mastering deep learning optimization. This article explores how gradient computation works in forward mode and reverse mode (backpropagation), detailing how frameworks like PyTorch leverage these techniques to efficiently train neural networks. Learn how binary operators influence differentiation and discover the role of computational graphs in gradient-based…