Prakhar Kumarprakhartechinsights.hashnode.dev·Apr 23, 2024Neural Networks: Understanding CNNs, RNNs, and Their Applications with PythonNeural networks have revolutionized the field of machine learning, enabling complex pattern recognition and learning tasks. In this blog post, we'll delve into the details of neural networks, focusing on Convolutional Neural Networks (CNNs) and Recur...DiscussAI/ML Blog By PrakharRNN & CNN differences
Kanishk Munotkanishkmunot.hashnode.dev·Mar 16, 2024Introduction to Object DetectionIn the field of computer vision, object detection stands as a crucial technique for pinpointing and identifying objects within images or videos. It goes beyond mere classification, not only recognizing the object's type but also meticulously marking ...Discuss·10 likes·37 readsrcnn
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
Vedant Poduvalvedantpoduval.hashnode.dev·Feb 18, 2024From Pixels to Predictions: A LeNet-5 Intro in PyTorch.Note:This blog assumes that you have a basic understanding of Pytorch and convolutions in general.Now onto LeNet-5. The Story of LeNet-5 I was trying to understand about how convolutions work and came across LeNet - 5. It was developed in 1998 by Yan...Discusspytorch
Mark williamsmarkwilliams21.hashnode.dev·Jan 16, 2024Unveiling the Best Data Science Projects: A Journey from Beginner to AdvancedEmbarking on a journey into the world of data science is an exhilarating experience. As you navigate through the vast landscape of algorithms, programming languages, and statistical models, one of the most effective ways to solidify your skills is by...DiscussData Science
Ridwan Ibidunnialjebraschool.hashnode.dev·Jan 14, 2024Neural Style TransferA Convolutional Neural Network (CNN) stands out as a formidable deep learning model employed extensively for image classification and processing. Within this network, images undergo processing in a forward direction, traversing a series of image filt...Discuss·48 readsMachine Learningneural networks
K Ahameddatailm.hashnode.dev·Jan 14, 2024Unveiling Neural Networks: A Comprehensive Guide from Layers to ApplicationsNeural networks, the cornerstone of artificial intelligence, operate as interconnected systems inspired by the human brain. Let's delve into the key components of neural networks, understand their roles, challenges, and explore their wide-ranging app...DiscussArtificial Intelligenceneural networks
Sreedeep cvsreedeep.hashnode.dev·Dec 3, 2023Breaking the Myth: Object Detection Isn't Hard as ThoughtHearing about AI and object detection can create an illusion among developers that doing such things is far beyond the reach of traditionally trained programmers. But that's not the case. Object detection is easy to set up and only requires a few min...DiscussAI
Aniz Bin Nowshadaniz.hashnode.dev·Nov 16, 2023Comparing between different optimizers used in Neural NetworkIn a Neural network, there is a loss function that tells us the performance of the model at the current instant. This loss function is used to train the network such that it can perform better. The loss is taken and we try to minimize it. The lower t...DiscussMLCNN
Samuel Adebayosamueladebayo.com·Nov 14, 2023Diving into Dynamic Realms: My Journey from 2D to 3D Convolutional Neural NetworksIf you would like to dive right into the code please see here In the ever-evolving landscape of computer vision, the transition from static imagery to the dynamic world of videos marks a significant leap to understanding the dynamicity of our world. ...Discuss·104 readsComputer VisionComputer Science