Tensor Transpose & Permute Explained Simply | JavaScript in Hindi | Make Your Own PyTorch #04

Tensor Transpose & Permute Explained Simply | Make Your Own PyTorch #04 What happens when we **transpose or permute a Tensor**? In this episode of **Make Your Own PyTorch**, we’ll understand Tensor `transpose()` and `permute()` from the ground up and implement the concepts in **JavaScript**. Instead of treating these operations as magic functions, we’ll see what actually changes inside a Tensor — especially its **shape and strides**. 🚀 What You'll Learn What does *Transpose* mean in a Tensor? What is the difference between *transpose* and **permute**? How does `transpose()` work on a 2D Tensor? How does `permute()` work with 3D and N-D Tensors? How Tensor *shape* changes after transpose and permute How Tensor *strides* change without moving the underlying data Why transpose and permute can be implemented as *views* Understanding dimension ordering Implementing Tensor transpose and permute in *JavaScript* Building Tensor operations from scratch, inspired by *PyTorch* 🧠 The Key Idea Transpose and permute don't necessarily mean copying all the data. Instead, we can change how the Tensor *interprets the same underlying data* by rearranging its: *Shape + Strides* This idea becomes extremely important when implementing operations such as: *Transpose → Permute → Reshape → View → Indexing* 🔥 Why Learn This? If you want to understand how Tensor libraries such as *PyTorch* work internally, these operations are fundamental. We're building our own Tensor system step by step in **JavaScript**, learning the underlying data structures and algorithms instead of simply calling library APIs. 📌 *Language:* JavaScript 📌 *Episode:* Make Your Own PyTorch #04 📌 *Topic:* Tensor Transpose & Permute #MakeYourOwnPyTorch #PyTorch #Tensor #TensorTranspose #TensorPermute #JavaScript #JavaScriptHindi #DeepLearning #MachineLearning #AI #TensorImplementation #PyTorchFromScratch #DeepLearningFromScratch #Programming