Learn Pytorch in 30 Minutes

PyTorch is a popular open-source machine learning library that is widely used for a variety of tasks in the field of artificial intelligence. It is particularly essential for deep learning, computer vision, and natural language processing, and is known for its ease of use, flexibility, and dynamic computational graph structure. At the heart of PyTorch is the concept of tensors, a data structure that is used to store and manipulate multi-dimensional arrays. Tensors can be processed on either a CPU or GPU, making PyTorch suitable for a wide range of complex and computationally demanding tasks. PyTorch supports a variety of tensor operations, including indexing, slicing, transposing, and element-wise operations, and it provides a variety of functions and classes for building and training neural networks. One of the key advantages of PyTorch is its dynamic computational graph structure, which allows for real-time modification of the model during runtime.