Understanding the PyTorch deep learning library
PyTorch is an open source machine learning library that was designed for deep learning using GPUs and CPUs. It was released in 2016, and it is a highly popular machine learning framework with a large following and many adoptions. Many technology companies, including tech giants such as Facebook, Microsoft, and Airbnb, all use PyTorch heavily for a wide range of deep learning use cases, such as computer vision and natural language processing.
PyTorch strikes a good balance of performance (using a C++ backend) with ease of use with default support for dynamic computational graphs and interoperability with the rest of the Python ecosystem. For example, with PyTorch, you can easily convert between NumPy arrays and PyTorch tensors. To allow for easy backward propagation, PyTorch has built-in support for automatically computing gradients, a vital requirement for gradient-based model optimization.
The PyTorch library consists of several...
