Salilesh Vermasalileshverma.hashnode.dev·Jun 13, 2024Understanding Neural Networks: A Beginner's GuideWhat is Neural Network A neural network, or artificial neural network, is a type of computing architecture that is based on a model of how a human brain functions — hence the name "Neural." Neural networks are made up of a collection of processing un...Discuss·12 likes·50 readsneural networks
Aditya Kharbandakharbanda25.hashnode.dev·May 29, 2024Recreating The LeNet-5 : 99.8% Accuracy on MNIST (Step-by-Step Guide)For the past few days I've been learning about Convolutional Networks and how they've transformed the field of Computer Vision and Deep Learning. So, I decided to recreate the LeNet-5, the ALL TIME CLASSIC Convnet published by Yann LeCun in his paper...Discuss·11 likes·88 readsProjectsAI
Sanika Nandpuresanikanandpure.hashnode.dev·May 19, 2024other types of layersSo far, we have looked at Dense layer types whose output becomes the input of another Dense layer. In a Dense layer, each neuron output is a function of all the activation outputs of the previous layer. Key word: all of the activation outputs of the ...Discussconvolutional networks
aansh savlaaanshsavla.hashnode.dev·Feb 23, 2024Pneumonia Detection using Quantum Transfer LearningIn this blog, we leverage transfer learning, a powerful machine learning technique, to enhance the performance of an image classifier. Classical and quantum networks are merged to create a hybrid architecture that gives practical usefulness of Quantu...Discuss·68 readsMachine 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
Juan Carlos Olamendyjuancolamendy.hashnode.dev·Dec 7, 2023Unlocking the Power of Strided Convolutions in Neural NetworksHave you ever wondered how machines can recognize images or understand speech as efficiently as humans? The answer lies in a sophisticated aspect of neural networks known as strided convolutions. In this article, we will dive deep into the world of s...DiscussMachine Learning
Juan Carlos Olamendyjuancolamendy.hashnode.dev·Oct 19, 2023Back to Basics: Feature Extraction with CNNIf you've ever wondered how computers can see and understand the world through images, you're in for a treat! Today, we'll delve into the fascinating world of Convolutional Neural Networks (CNNs) and learn about their magical feature extraction powe...DiscussMachine Learning
Juan Carlos Olamendyjuancolamendy.hashnode.dev·Oct 19, 2023How Convnets works?Do you want to learn how Convnets works? Let's use MNIST, the hello world of #deeplearning Go through the steps of building and train a model. Load dataset First step is to load the MNIST dataset. It contains 70,000 28x28 images showing handwritten d...DiscussMachine Learning
Luvai Bhoriluvai.hashnode.dev·Aug 29, 2023Visual Intelligence Unleashed: The Magic of Deep Learning and CNNsIn an era where artificial intelligence is transcending boundaries and reshaping industries, there's a particular branch that stands out as a cornerstone of the AI revolution—deep learning. At the heart of this transformative force lies Convolutional...DiscussArtificial Intelligence
Testimony Adekoyawritingtestys.hashnode.dev·May 31, 2023Deep Dive into Convolutional Neural Networks, Part 1:Introduction Most models used in modern-day computer vision tasks like object detection, generative computer vision, object recognition, and so on all have their backbone architecture in convolutional neural networks (CNN). A convolutional neural net...Bhargav and 1 other are discussing this2 people are discussing thisDiscuss·4 likes·70 readsComputer Vision
