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This project explores various approaches for image upscaling and classification. We trained a Super Resolution Generative Adversarial Networks (SRGAN) model and compared its performance to other algorithms such as BICUBIC, LAPSRN, and EDSR. We also evaluated the effectiveness of different CNN algorithms for image classification tasks.

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comparative-study-of-low-resolution-images-to-high-resolution-images's Introduction

💫 About Me:

I am a final Engineering student at Jaypee Institute of Information Technology, I have a strong foundation in computer software development, with skills in C, C++, HTML, CSS, MySQL, Data Structures, and Algorithms. My passion for problem-solving and learning new concepts is evident to my dedication to competitive coding. Additionally, I am externally focused and supportive, with a natural desire to encourage others. I am passionate about new technologies and are eager for new challenges and changes in your career. Overall, I am a highly motivated and dedicated individual with a strong desire to excel in the field of computer software development.

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💻 Tech Stack:

C C++ CSS3 HTML5 JavaScript Python AWS Google Cloud NodeJS Next JS React Native React MongoDB MySQL Pandas NumPy SciPy scikit-learn TensorFlow Plotly

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