Ridwan Ibidunnialjebraschool.hashnode.dev·Mar 2, 2024Machine LearningAssuming you are a member of the admissions committee at a university, a student's acceptance hinges on two scores: their test results and their grades. These two scores are also known as the determining factors, or more formally, input features, whi...Discuss·1 like·106 readsMachine LearningMachine Learning
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
Saurabh Naiksaurabhz.hashnode.dev·Jan 8, 2024Decoding Perceptrons: Bridging the Gap Between Neurons and Neural NetworksIntroduction: In the intricate world of neural networks, a fundamental building block emerges – the perceptron. Drawing inspiration from the human brain's neurons, the perceptron plays a pivotal role in shaping the foundation of artificial intelligen...DiscussDeep LearningArtificial Intelligence
Yuvraj Singhyuvraj01.hashnode.dev·Jul 21, 2023Introduction to deep learningAre you looking for a resource that can teach you everything you need to know about deep learning? Then you've come to the right place, because starting today, I'm going to start a deep learning blog series that will provide you with in-depth knowled...DiscussWeMakeDevs
Kavita Ranakavirana.hashnode.dev·Jun 26, 2023The Perceptron TrickLinearly Classifiable Dataset Perceptron Trick The perceptron trick, also known as the perceptron learning rule or the delta rule, is a simple algorithm used for training a binary linear classifier called the perceptron. Understanding this will help...Discuss·9 likes·99 readsPerceptron
Mustafa Dalgasft.hashnode.dev·Jun 4, 2023Reality Check: The Impact of Perception on Decision-MakingThe imagined world of many individuals can be quite different from the real one. This is particularly true for leading figures in society. These figures are often surrounded by a bubble that only shows them what they want to see. For instance, when a...DiscussEnglishReality
Devajit Patardevajit.hashnode.dev·May 27, 2023Implementation Of Single-Layer PerceptronStep1: Import Necessary Libraries Numpy: Numpy arrays are very fast and can perform large computations in a very short time. Matplotlib: Used for Visualizations. Tensorflow: This is an open-source library that is used for Machine Learning and Artific...DiscussPerceptron
Pronod Bharatiyadata-intelligence.hashnode.dev·May 5, 2023The perceptron algorithm - some limitations1. Introduction Perceptron, a simple neural network algorithm, is primarily used for classification problems that are binary in nature. However, the type of data that is being used puts a limiting factor on the efficient working of the perceptron alg...Discuss·143 readsPerceptron AlgorithmDeep Learning
Pronod Bharatiyadata-intelligence.hashnode.dev·May 4, 2023Perceptron Algorithm - How it Works?1. Introduction The perceptron algorithm is a type of neural network algorithm and was developed by Frank Rosenblatt in the late 1950s. It is a simple linear binary classification algorithm used for supervised learning. This algorithm takes an input ...Discuss·2 likes·92 readsPerceptron AlgorithmDeep Learning
Pronod Bharatiyadata-intelligence.hashnode.dev·May 3, 2023What is perceptron and why it is important to understand neural networks?1. Introduction to the perceptron A perceptron is a type of artificial neural network model that is used for supervised learning of binary classification problems, i.e., problems where we want to predict whether an input belongs to one of two categor...Discuss·94 readsPerceptron Algorithmneural networks