diwas524/gan-implementation-on-mnist-dataset-pytorch

GAN, from the field of unsupervised learning, was first reported on in 2014 from Ian Goodfellow and others in Yoshua Bengio’s lab. Generative Adversarial Network is composed of two neural networks, a generator G and a discriminator D.

Hey 👋🏽, I'm Diwas Pandey!

I am Diwas Pandey, an aspiring graduate with an M.S. in Computer Science from Washington State University (current GPA: 4.00). My academic journey has equipped me with comprehensive knowledge in Artificial Intelligence, Machine Learning, Neural Networks, and Computer Vision. I hold a B.E. in Computer Engineering from Tribhuvan University, Nepal, and bring practical experience from projects like real-time number plate recognition and bio-marker analysis from ECG data.

Eager to launch my career, I am actively seeking entry-level roles in Machine Learning. My research endeavors and hands-on projects have honed my skills in Python, C++, Scikit-learn, OpenCV, PyTorch, and AWS. As a Team Lead and Machine Learning Engineer II, I successfully led projects at Bottle Technology, Pvt. Ltd., enhancing Nepali Citizenship data and implementing a Smart Advertisement system. My entrepreneurial spirit is reflected in founding aihubprojects.com, where I authored a book, published articles, and collaborated with renowned institutions. I am excited about contributing my skills to a dynamic team and making a meaningful impact in the field of Machine Learning.

• ⚡ Pursuing a Master's in Computer Science at Washington State University
• 📫 Former team lead & Machine Learning Engineer at Bottle Technology
• 🔭 Admin, Content writer on aihubprojects.com
• 🌱 Published Kindle eBook on Python

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