Intro to optimization in deep learning: Gradient Descent
Escaping from Saddle Points – Off the convex path
A simple 2D example which has one saddle point (0, 0) and two local... | Download Scientific Diagram
What is Gradient Descent? | IBM
Gradient Descent converging to a Saddle Point | Beni Bogoşel's blog
optimization - Oscillating around the saddle point in gradient descent? - Artificial Intelligence Stack Exchange
Efficient approaches for escaping higher order saddle points in non-convex optimization - YouTube
Figure 2 from Gradient Descent Can Take Exponential Time to Escape Saddle Points | Semantic Scholar
David Li-Bland's Blog - Saddle Points and Stochastic Gradient Descent
Quantum algorithms for escaping from saddle points – Quantum
Gradient descent explained in simple way | by Sweta | Medium
Gradient Descent in Machine Learning - Javatpoint
David Li-Bland's Blog - Saddle Points and Stochastic Gradient Descent
![4. Beyond Gradient Descent - Fundamentals of Deep Learning [Book]](https://www.oreilly.com/api/v2/epubs/9781491925607/files/assets/fodl_0405.png "4. Beyond Gradient Descent - Fundamentals of Deep Learning [Book]")
4. Beyond Gradient Descent - Fundamentals of Deep Learning [Book]
Momentum-based Gradient Descent: Adaptive Optimization in Machine Learning
Damek Davis on X: "Gradient descent doesn't avoid saddle points of C^1 smooth functions. Random initialization doesn't help. If you start in the crevice, you stay in the crevice. You need C^2
Escaping from Saddle Points – Off the convex path
Gradient descent - Wikipedia
Can SGD avoid getting stuck in saddle points? - Quora
gradient descent - How can it be trapped in a saddle point? - Cross Validated
Momentum-Based Gradient Descent - Scaler Topics
Intro to optimization in deep learning: Gradient Descent
How to Escape Saddle Points Efficiently – The Berkeley Artificial Intelligence Research Blog
Animated-Gradient-Descent - File Exchange - MATLAB Central
Escaping from Saddle Points – Off the convex path
