Reduction Iterator Explained in Hindi | Make Your Own PyTorch #14

How does a Tensor library iterate through elements when performing a reduction operation? In this video, we continue our Make Your Own PyTorch series with a deeper look at the Reduction Iterator, explained in Hindi. We explore how reduction works across tensor dimensions, how axes determine which elements are combined, and how input coordinates map to output coordinates during iteration. Topics covered: What is a Reduction Iterator? Understanding tensor reduction with practical examples Iterating over multidimensional tensors Reduction along specific axes Input coordinates vs output coordinates How output shape changes during reduction Understanding keepDim true and false Traversing tensor elements using shape and strides The logic behind implementing a Reduction Iterator This is Episode 14 of the Make Your Own PyTorch series, where we build a PyTorch-like Tensor library from scratch using JavaScript and understand the internal concepts behind tensor operations. #ReductionIterator #TensorReduction #PyTorch #JavaScript #Tensor #MachineLearning #DeepLearning #AI #TensorOperations #PyTorchFromScratch #MachineLearningFromScratch #CodingInHindi #ProgrammingInHindi #JavaScriptTutorial #MakeYourOwnPyTorch