Introduction to PyTorch

PyTorch is an open-source machine learning library that is primarily used for developing deep learning models. It is based on Torch, a scientific computing framework, and provides a flexible and dynamic way of building and training models. What makes its popular is that the defining characteristics of PyTorch are in its “Pythonic” design, which you can learn about by importing ‘this’ into python.

#| label: The zen of python by Tim Peters
#| message: false
#| echo: true
#| eval: true
import this

PyTorch uses Python as its primary interface, which makes it intuitive and easy to learn for developers who are already familiar with the language. This is in contrast to TensorFlow, which is more focused on creating a static computation graph that is compiled and optimized before the model is run.

Its dynamic computation graph allows for considerable flexibility in building models, as developers can modify graphs on-the-fly during training...