Pronod Bharatiyadata-intelligence.hashnode.dev·Sep 12, 2024Understanding High Dimensionality and the Prevalence of Saddle Points in Deep LearningIn machine learning, particularly deep learning, high-dimensional optimization problems have become a significant focus of study. These problems arise due to the sheer number of parameters involved in training models, especially deep neural networks ...69 readsSaddle Point in Machine Learning and Deep Learningsaddlepoint
Pronod Bharatiyadata-intelligence.hashnode.dev·Sep 11, 2024How Saddle Points Affect Machine Learning and Deep Learning: Understanding and Overcoming Optimization ChallengesSaddle points are a common phenomenon in optimization, especially in machine learning (ML) and deep learning (DL), where large neural networks often get stuck in non-optimal flat regions during training. In this SEO-optimized blog, we will explore th...297 readsSaddle Point in Machine Learning and Deep LearningMachine Learning
Pronod Bharatiyadata-intelligence.hashnode.dev·Sep 11, 2024Methods to Identify Saddle Points Without the Hessian Determinant TestIn multivariable calculus, identifying critical points and classifying them as local maxima, minima, or saddle points is a crucial task. Traditionally, the Hessian determinant test (second derivative test) is used to classify these points. However, t...155 readsSaddle Point in Machine Learning and Deep LearningMachine Learning
Pronod Bharatiyadata-intelligence.hashnode.dev·Sep 10, 2024Understanding Saddle Points: A Deep Dive into Their Nature, Mixed Second Derivative Test, and Critical PointsIn multivariable calculus, understanding the nature of critical points—whether they are local minima, local maxima, or saddle points—is crucial. Saddle points, in particular, occupy a special place due to their unique behavior. They are neither minim...208 readsSaddle Point in Machine Learning and Deep Learningsaddlepoint
