Prakhar Kumarprakhartechinsights.hashnode.dev·Apr 15, 2024Neural Networks: A Step-by-Step GuideNeural networks are the backbone of deep learning, enabling machines to learn from data and make intelligent decisions. In this comprehensive guide, we'll unravel the complexities of neural networks step by step, providing a detailed explanation alon...DiscussAI/ML Blog By PrakharDeep Learning
Trisha Banerjeemlexplorer.hashnode.dev·Feb 22, 2024Understanding the Magic of Convolutional Neural Networks: A Comprehensive ExplorationIntroduction Have you ever wondered how technologies like self-driving cars, facial recognition, and smartphone cameras actually work? The secret sauce behind many of these modern AI capabilities are Convolutional Neural Networks (CNNs) - a powerful ...DiscussMachine Learning
Roman Kyrkaloromankyrkalo.hashnode.dev·Dec 28, 2023The Neural Symphony: Understanding Forward Propagation in AIIntroduction Forward propagation is a pivotal aspect of AI, encompassing the process through which data traverses various layers to produce an output. Despite its apparent simplicity, this is a fundamentally intricate procedure. At its core, forward ...Discuss·43 readsForward propagation
Ali Shahalishah.hashnode.dev·Aug 17, 2023Decoding AI JargonEver felt AI jargon is just a ploy to make our brains do somersaults? 🤯 I'm with you! But let's pull back the curtain: those hefty, eyebrow-raising words? Often, they're just everyday ideas in a fancy suit. Come with me as we demystify AI, using rel...DiscussAI
Vedant Pandyasabinewern.hashnode.dev·Mar 22, 2023Hand Written Digit Recognition ProjectHandwritten digit recognition is already widely used in the automatic processing of bank cheques, postal addresses, etc. Some of the existing systems include computational intelligence techniques such as artificial neural networks or fuzzy logic, wher...Discuss·116 readsMachine Learning
Bhagirath Deshani bhagirathkd.hashnode.dev·Jan 26, 2023#73 Machine Learning & Data Science Challenge 73Why do we need Non-linear activation functions? A neural network without activation functions is essentially a linear regression model. The activation functions do the non-linear transformation to the input, making it capable of learning and performi...Discuss·33 readsMachine Learning & Data Science Interview ChallengesMachine Learning
Mahdi Derogarmrdrgr.hashnode.dev·Jan 15, 2023Generative Adversarial Networks (GANs) ExplainedHave you ever wondered how today AI models can create artistic images just from simple text prompts? Or have you wondered how AI tech is used to scale low-resolution images to super high-resolution? Generative Adversarial Networks (GANs) are a powerf...Discuss·84 readsMachine Learning
