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A statistical model or a machine learning algorithm is said to have underfitting when a model is too...
Supervised Machine Learning Algorithms . Classification . Regression . Generalization . Underfitting...
In this study, a deep learning-based model was proposed by combining a sparse autoencoder and a comb...
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/08/the-fu...
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/10/diagno...
Selecting a university major is a crucial decision that impacts students' future career paths an...
Overview Regularization for Deep Learning basics explained, After that we study about L2 and L1 Regu...
Decision tree basic concepts
This presentation, titled "Machine Learning: Transforming Data into Insights," offers an i...
This paper presents a study on the classification of traditional Tasikmalaya batik motifs using conv...
Are you ready to discover how machines learn better by working together? Dive into the world of Bagg...
Cascade R-CNN - Delving into High Quality Object Detection
AlexNet
Seminar PPT on Random Forest Tree Algorithm
Understanding GBM and XGBoost in Scikit-Learn
Data science is an interdisciplinary field that utilizes scientific methods, processes, algorithms, ...
Dropouts in deep learning
Model representation refers to the way a machine learning or statistical model is structured, stored...
Cross Validation Techniques
neural networks with deep learning
This project showcases an AI-driven approach to detecting credit card fraud using machine learning a...
In today's digital world, credit card fraud is a growing concern. This project explores machine ...
Slide share for deep learning google network.