AlexNet CNN Architecture
Exploring AlexNet CNN Architecture: A Game-Changer in Machine Learning Structure of Convolutional Neural Network (CNN) Convolutional Neural Network (CNN) built upon AlexNet is a landmark in the evolution of the world of Artificial Intelligence and ...
Read moreThe Origin of CNN – LeNet (CNN) architecture
Exploring LeNet Architecture: The Pioneer of Convolutional Neural Networks in Machine Learning Machine learning has enjoyed tremendous progress over the years, but arguably the most significant development is the introduction of Convolutional Neural Networks (CNNs). ...
Read moreConvolutional Neural Network (CNN)-Deep Learning- For Computer Vision
Convolutional Neural Network (CNN) A Deep Dive into the Heart of Machine Learning Convolutional Neural Network (CNN) As the basis of existing technology development, which is of active evolution, machine learning has transformed into the ...
Read moreUnderstanding the Artificial Neural Network(ANN)
Understanding Artificial Neural Networks (ANNs): A Comprehensive Guide to the Future of Machine Learning Research area of artificial intelligence (AI) has recently been greatly affected by machine learning and, owing to the greatest invention achieved ...
Read moreSupport Vector Machine Algorithm in ML
A Complete Guide Support Vector Machines(SVM) has played an irreplaceable role in the machine learning community, with which, an effective, efficient and powerful method is adopted to develop the solution for the classification and regression ...
Read moreDBSCAN Clustering Algorithm in ML
DBSCAN Clustering Terminologies must to know:1.Minpoints 2.Core points 3.Border Points 4.Noise points 5.Epsilon DBSCAN Clustering DBSCAN Clustering-Steps involved in DBSCAN clustering algorithm1.Choose any point p randomly2.Identify all density reachable points from p with ε and ...
Read moreHierarchical Clustering Algorithm in ML
Hierarchical Clustering-How Hierarchical Algorithm Work:-1.The data points are assigned as a single point clusters2.Find the closets or similar pair of clusters to merge them into one clusters3. identifying the two closest clusters, use the linkage ...
Read moreK-Means Clustering Algorithm in ML
K-Means Clustering Algorithm in ML -How does the K-means algorithm work? 1.Selec the K2.Initialize the centroids(k values).3.compute centroid using Euclidian.4.Find the number of clusters . K-Means Clustering Algorithm in ML ( Un Supervised learning)-How to ...
Read moreEnsemble Techniques in ML ( Classification/Regression)
Ensemble Techniques-Uses:- Ensemble methods are techniques that create multiple models and then combine them to produce improved results. Ensemble methods produces more accurate solutions.Below Techniques must to know to build best prediction Model:- 1.Bagging: Parallel ...
Read moreDecision Tree Algorithm in Machine Learning
Decision Tree -Mathematical intuition Must to know for below1.Entropy–(To check the purity of the node)2.Gini Impurity (To determine the purity of the node) 3.Information Gain (determining which feature to select for decision)4. Post Pruning.5. Pre ...
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