Gradient descent
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- Sparse Autoencoder
- Stochastic Gradient Descent Learning and the Backpropagation Algorithm
- Gradient Origin Networks
- Stochastic Gradient Descent As Approximate Bayesian Inference
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- CSC321 Lecture 6: Backpropagation
- Learning Recurrent Neural Networks with Hessian-Free Optimization
- Introduction to Reinforcement Learning
- Implicit Bias of Gradient Descent on Linear Convolutional Networks
- THOR: Trace-Based Hardware-Driven Layer-Oriented Natural Gradient
- Machine Learning Basics Lecture 3: Perceptron Princeton University COS 495 Instructor: Yingyu Liang Perceptron Overview
- 1 Lecture 10: Descent Methods Gradient Descent (Reminder)
- Analysis of Standard Gradient Descent with GD Momentum and Adaptive LR for SPR Prediction
- Lecture 7 – Deep Learning and Convolutional Networks ESS2222
- On Orthogonality and Learning Recurrent Networks with Long Term Dependencies
- A Survey of Optimization Methods from a Machine Learning Perspective
- Calibrated Stochastic Gradient Descent for Convolutional Neural