6. Troubleshooting "PyTorch RuntimeError: Expected tensor for argument #1 'indices' to have scalar type Long; but got CUDAType instead" in Python
   PyTorch RuntimeError: This indicates an error during runtime execution within the PyTorch library.Expected tensor for argument #1 'indices' to have scalar type Long: PyTorch is expecting a tensor (multidimensional array) as the first argument (indices) for a specific operation
7. Troubleshooting AttributeError: '_MultiProcessingDataLoaderIter' object has no attribute 'next' in PyTorch
   Python: This error occurs in Python, a general-purpose programming language.PyTorch: It specifically relates to PyTorch
8. Demystifying PyTorch: The Inspiration Behind the Deep Learning Library
   While the exact reason for the name "Torch" itself is not definitively confirmed, some speculate it might be related to the concept of a "light" guiding the way in machine learning
9. Demystifying the Relationship Between PyTorch and Torch: A Pythonic Leap Forward in Deep Learning
   Torch: Torch is an older deep learning framework originally written in C/C++. It provided a Lua interface, making it popular for researchers who preferred Lua's scripting capabilities
10. Optimizing Your PyTorch Code: Mastering Tensor Reshaping with view() and unsqueeze()
    Purpose: Reshapes a tensor to a new view with different dimensions, but without changing the underlying data.Arguments: Takes a single argument
11. Demystifying DataLoaders: A Guide to Efficient Custom Dataset Handling in PyTorch
    PyTorch: A deep learning library in Python for building and training neural networks.Dataset: A collection of data points used to train a model