Bhavya Shingariadvancedideamechanics.hashnode.dev·Dec 10, 2024Convolutional Neural Networks (CNN) in PythonImagine being in a zoo trying to recognize if a given animal is a cheetah or a leopard. As a human, your brain can effortlessly analyze body and facial features to come to a valid conclusion. In the same way, Convolutional Neural Networks (CNNs) can ...10 likesCNN
Fatima Jannetmahia.hashnode.dev·Nov 26, 2024ML Chapter 8.2 : Deep LearningWelcome to Part 8.2 - Deep Learning! Deep Learning is the most exciting and powerful branch of Machine Learning. If you're new to this blog, I strongly advise you to read the previous blogs because this one is quite advanced. Thank you! Plan of attac...11 likes·234 readsMachine Learning (Python)Deep Learning
Anix Lynchgozeroshot.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...K-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...CNN
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...dnns
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...RNN
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
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...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...neural networks
Anix Lynchgozeroshot.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...41 readsCNN
