agrawalsourabh / deep-learning-optimization-algorithms Goto Github PK View Code? Open in Web Editor NEW This project forked from mynkpl1998/deep-learning-optimization-algorithms 0.0 0.0 0.0 84.47 MB Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers. Jupyter Notebook 100.00% Introduction ยท People ยท Discuss
Deep-Learning-Optimization-Algorithms This repository contains the code for visualization of various deep learning optimization algorithms. PyTorch is used for automatic differentiation and implementing the various optimizers. Stochastic Gradient Descent (SGD) 2D Convex Surface 2D Non-Convex Surface 3D Surface with Saddle Point SGD with Momentum 2D Convex Surface 2D Non-Convex Surface 3D Surface with Saddle Point Ada-delta 2D Convex Surface 2D Non-Convex Surface 3D Surface with Saddle Point Adaptive Moment Estimation (ADAM) 2D Convex Surface 2D Non-Convex Surface 3D Surface with Saddle Point
Deep-Learning-Optimization-Algorithms This repository contains the code for visualization of various deep learning optimization algorithms. PyTorch is used for automatic differentiation and implementing the various optimizers. Stochastic Gradient Descent (SGD) 2D Convex Surface 2D Non-Convex Surface 3D Surface with Saddle Point SGD with Momentum 2D Convex Surface 2D Non-Convex Surface 3D Surface with Saddle Point Ada-delta 2D Convex Surface 2D Non-Convex Surface 3D Surface with Saddle Point Adaptive Moment Estimation (ADAM) 2D Convex Surface 2D Non-Convex Surface 3D Surface with Saddle Point
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