Gargi Kaushikigargikaushik.hashnode.dev·Nov 15, 2024Generative Adversarial NetworksGenerative Adversarial Networks (GANs) have garnered significant attention in the field of Artificial Intelligence, not just for their innovative methods in generating and enhancing data, but also for their fundamental role in applications such as cr...generative an
Arya M. Pathakarya2004.hashnode.dev·Oct 28, 2024Mastering GANs: The Roles of Generator and DiscriminatorGenerative Adversarial Networks (GANs) have become a cornerstone in generative modeling within machine learning. GANs operate by pitting two neural networks—the Generator and the Discriminator—against each other, creating a feedback loop that allows ...10 likesThe GAN Guide: From Basics to BreakthroughsGANs
Arya M. Pathakarya2004.hashnode.dev·Oct 27, 2024An Overview into Generative Adversarial NetworksWelcome to the fascinating world of Generative Adversarial Networks (GANs)! As engineering students, we often come across amazing technologies that leave us in awe, and GANs are one of them. Imagine building a model that can generate images of realis...20 likes·45 readsThe GAN Guide: From Basics to BreakthroughsGANs
Anix Lynchgozeroshot.dev·Oct 20, 20247 Common Patterns For Neural Networks in Keras1. Fully Connected Neural Network (Feedforward Network) Use case: Very versatile. Useful for a wide variety of tasks involving structured, tabular data. They work well for both classification (binary/multiclass) and regression tasks, where the goal ...CNN
Indu Jawlacoders.hashnode.dev·Oct 14, 2024A Comprehensive Overview of Neural Networks and Their Applications in Modern AINeural networks and deep learning are at the forefront of artificial intelligence (AI) and machine learning (ML), revolutionizing how machines perceive, interpret, and interact with data. This article provides an in-depth look at the fundamental arch...neural networks
Alexis VANNSONalexisvannson.hashnode.dev·Oct 11, 2024How Generative Adversarial Networks create ImagesThis article explains how Generative Adversarial Networks (GANs) create images. It covers the basic adversarial setup and how transposed convolutions turn noise into realistic images through feedback. This article explores the inner workings of Deep ...32 likes·122 readsGANs
karthik hublidiffusion-model.hashnode.dev·Sep 24, 2024Fundamentals of Generative ModelsIntroduction to Generative Models Generative Machine Learning is a subset of artificial intelligence, where models are trained to generate new data samples like the original training data. Generative machine learning involves the development of model...Diffusion Models
ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com·Sep 6, 2024How to Automate Social Media Content Creation Using Python and Deep LearningIn the fast-paced world of social media, generating engaging content consistently can be challenging for individuals and businesses. Automation can help streamline content creation and allow you to stay ahead of the curve. By leveraging Python and de...10 likes·69 readsPythonPython
Qubitedqubited.hashnode.dev·Sep 6, 2024What are the main components of a GAN?Generative Adversarial Networks (GANs) represent one of the most intriguing breakthroughs in artificial intelligence (AI). However, what exactly are these networks, and how do they operate? If the subject is unfamiliar, fret not. By the conclusion of...GANs
kasinadhsarmablogs.kasinadhsarma.in·Aug 17, 2024NeuroFlex: Pioneering the Future of AI and ConsciousnessIn the rapidly evolving landscape of artificial intelligence, a groundbreaking project has emerged that promises to revolutionize our understanding of machine learning, quantum computing, and even consciousness itself. Enter NeuroFlex, an ambitious a...2d/3d convolution
