Anix LynchProanixblog.hashnode.dev·Nov 5, 2024Part 2: 10 Advanced ML and Ensemble Methods with Math Notation Friendly Explained1. k-Means Clustering k-Means Clustering is an unsupervised learning algorithm used for grouping data points into \( k \) clusters based on their similarity. The algorithm works by assigning each data point to the nearest cluster center, then adjusti...DiscussK-mean
Ezaan Aminezaan.hashnode.dev·Oct 30, 2024Foundations of Convolutional Neural Networks (CNNs)Convolutional Neural Networks (CNNs) have transformed the field of computer vision by allowing machines to detect patterns and features in images automatically. Whether it’s facial recognition, object detection, or autonomous vehicles, CNNs rely on a...DiscussCNN
Sujit Nirmalblackshadow.hashnode.dev·Oct 29, 2024Introduction to DNNSArtificial Neural Networks (ANNs): ANNs are computational models inspired by the human brain. They consist of interconnected nodes or 'neurons' that process information and make decisions. ANNs are used in various applications, from image recognition...Discussdnns
Akhil Soniakhilworld.hashnode.dev·Oct 20, 2024Recur in RNNIn the article named “Convolution in NN”, just as we have seen that convolutional networks can process images of variable size, can readily scale to images with large width and height, we are also having the networks that can scale much longer sequen...DiscussRNN
Anix LynchProanixblog.hashnode.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 ...DiscussCNN
Aishwarya Jagadishaishwarya21.hashnode.dev·Oct 15, 2024Uncovering Deep Learning Models for Emotion Recognition Using EmoticHello everyone! It’s been a long time since I last posted, but I’m back with some exciting content on deep learning. Today, we are delving into a captivating subject that lies at the intersection of artificial intelligence and human emotions. In a wo...Discuss·11 likes·67 readsDeep Learning
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...Discussneural networks
Anix LynchProanixblog.hashnode.dev·Oct 13, 2024Skip connection in Pytorch with CNNIn this code, you're setting up a skip connection in PyTorch using a simple convolutional neural network (CNN) with two convolutional layers. The skip connection allows information to "skip" one layer and be added back to the output of the next layer...Discuss·27 readsCNN
Muhammad Fahad Bashirmfahadbashir.hashnode.dev·Oct 3, 2024Why Shift to CNNs: Solving Simple Neural Network Limitations and Understanding CNN [part1]Today, we’re excited to explore one of the most widely used neural networks, especially in image processing: Convolutional Neural Networks (CNNs). You might be wondering — we already have simple neural networks that can handle images as we explored i...Discuss·29 readsML & DLneural networks
Shreyas Ladheclouddevopsfornewbies.hashnode.dev·Sep 21, 2024My Deep Dive into Deep Learning: A Recap of the NVIDIA DLI Fundamentals of Deep Learning CourseI recently had the opportunity to attend the NVIDIA Deep Learning Institute (DLI) event hosted by Indian Institute of Information Technology Vadodara (IIITV), where I completed the Fundamentals of Deep Learning course. As someone passionate about bot...DiscussNVIDIA
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