introduction to pytorch that provide comprehensive set of functions for handling images (computer visionand text (natural language processingdatasets we will explore the essential utilities from these packages in "convolutional neural networks,and "recurrent neural networks as librarypytorch provides an excellent means for researchers and practitioners to develop and train deep learning experiments at scale while providing neat abstraction for several building blocks yet being flexible for deep customization in the next few while practically implementing deep learning modelsyou will see how pytorch takes cares of so many things in the background and thus equips the user with the speed and required agility for accelerated experiments at scale the next will focus on the foundations for basic feed-forward network--the first step towards deep learning