introduction to pytorch the recent years have witnessed major releases of frameworks and tools to democratize deep learning to the masses todaywe have plethora of options at our disposal this aims to provide an overview of pytorch we will be using pytorch extensively throughout the book for implementing deep learning examples note that this is not comprehensive guide for pytorchso you should consult the additional materials suggested in the for deeper understanding of the framework basic overview will be offered and the necessary additions to the topic will be provided in the course of the examples implemented later in the book with no further adolet' get started by reviewing some of the broader questions you may have when considering pytorch hy do we need deep learning frameworkdeveloping deep neural network and preparing it to solve today' problems is quite herculean task there are too many pieces to connect and orchestrate in systematic flow to achieve the objectives we desire (cnikhil ketkarjojo moolayil ketkar and moolayildeep learning with python