How to Program Generative Adversarial Network with Tensorflow 2.0
This guide is a hands-on tutorial to program a generative adversarial network with TensorFlow 2.0 to generate new data using the past data. We need to train two networks, Generator, and Discriminator, using alternative approach where for each batch, we train the discriminator first such that it identifies if a provided sample data is fake or real and the generator…
How to Make AI Art in 2026: The Complete Beginner’s Guide
AI image generation is now the most powerful (and also among the least difficult to access) creative tool for beginners. In short, what was once the realm of sophisticated graphic design and costly software can now be accessed anywhere by anyone who is simply given a text prompt. Couple it with blogging, digital marketing, entrepreneurship, or content creation, and AI images…
Basics of K-Nearest Neighbor Algorithm
K-NN or K-Nearest Neighbor works on the simple principle- "Birds of the same feather flock together.” K-NN is a Supervised Machine Learning Algorithm. It solves both Regression and Classification problems. And mostly used for Classification problems. It classifies the data points based on how its neighbours are classified. The algorithm classifies new data point by looking at its k already-…
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What Is an AI Image Generator and How Does It Work?
AI is revolutionizing the digital realm, but one of its cooler tricks has…
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Sandeep Kumar is the Founder & CEO of Aitude, a leading AI tools, research, and tutorial platform dedicated to empowering learners, researchers, and innovators. Under...
I'm Erika Balla, a Hungarian from Romania with a passion for both graphic design and content writing. After completing my studies in graphic design, I...
