Research Advances in Intelligent Computing

21Image Generation Using Deep Convolutional Generative Adversarial Networks

Abhishek Aryan, Vignesh Kashyap, and Anurag Goel

Delhi Technological University New Delhi, India

DOI: 10.1201/9781003320340-21

CONTENTS

• 21.1 Introduction

• 21.2 Related Work

• 21.3 Methodology

  • 21.3.1 Dataset

  • 21.3.2 Architecture of the GAN

  • 21.3.3 Evaluation Metrics

• 21.4 Experimental Results

• 21.5 Conclusion

• References

21.1 Introduction

Data is being the most crucial resource of 21st century. If we could replicate similar data to generate synthetic data, it would be the ideal solution for the extensive amount of data required to improve and further provide new features with the same. With the emerging applications of machine learning in various fields, the need for ...