Deep Learning
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PyTorch Tensor Operations
Tensors are multi-dimensional arrays that generalize scalars, vectors, and matrices to higher dimensions. In PyTorch, tensors serve as the fundamental building block for storing data and performing operations within machine learning models.Tensor algebra is a branch of mathematics dealing with tensors and their mathematical operations. PyTorch provides numerous functionalities to manipulate and operate on…
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Computational Graphs and Automatic Differentiation
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…