Session on Generative Adversarial Networks GANs
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=Fe1MzID2BNg
Generative Adversarial Networks (GANs) are a class of artificial intelligence algorithms that consist of two neural networks, the generator and the discriminator, which compete against each other. The generator creates new data samples, such as images or text, while the discriminator tries to differentiate between real and generated samples. Through this adversarial process, GANs can generate highly realistic and diverse outputs, making them a powerful tool for generating synthetic data and creating realistic content like images, videos, and text. • ============================ • Do you want to learn from me? • Check my affordable mentorship program at : https://learnwith.campusx.in/s/store • ============================ • 📱 Grow with us: • CampusX' LinkedIn: / campusx-official • CampusX on Instagram for daily tips: / campusx.official • My LinkedIn: / nitish-singh-03412789 • Discord: / discord • E-mail us at [email protected]
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