3. Alternative Methods to .view() in PyTorch
   Here's a breakdown of what . view() does:Reshaping:Takes an existing tensor as input.Reshapes the tensor into a new shape specified by the user
4. Managing GPU Memory Like a Pro: Essential Practices for PyTorch Deep Learning
   When you use PyTorch for deep learning tasks, it allocates memory on your graphics processing unit (GPU) to store tensors (multidimensional arrays) and other computational objects
5. Demystifying .contiguous() in PyTorch: Memory, Performance, and When to Use It
   Memory Efficiency and Contiguous Tensors:The . contiguous() Method:The . contiguous() method in PyTorch addresses this by ensuring a tensor is stored contiguously in memory