Models depicting depicting deep learning have shown Sustainable Growth in recography. E Field of Image Recognition and the Collection of the DataSet. To Avoid Such Issues, The Data Augmentation Technique is using for enhancing data.To Implement the Various Deep Learning Modelsलखनऊ वित्तीय प्रबंधन. Typical Computer Models and Dar Models Through Random Elastic DeformTric Transforma D Rotation) For Initial Instances of Training. Through This Research, An Investigation on Generation Adversarial Networks (GAN) Has Been CarriedAnd a method for generating fresh face examples have been done. In the event of a train with a law, iMensional Space, The Classifier Could Not Translate Well.For Producing Synthetic Images, We Seek to Enrich Image or Signal DataBases to Increase Output Performance for The Defined Classifierआगरा वित्तीय प्रबंधन. H will Help the researcher to undertand how the data augmentation technique worgs and how it imports the performance of the defoarning models by enhancing.The Limited DataSet. Our Approach Achieves High Accuracy Rates on The Different FEATUREETRACTION PARAMETERS BY UISING A Convolutional Network On the EN Hanced Data Generated By Implementing the Data Augmentation Approach.