Видео ютуба по тегу Gradient Descent

Gradient descent, how neural networks learn | Deep Learning Chapter 2
Gradient descent, how neural networks learn | Deep Learning Chapter 2
Gradient Descent, Step-by-Step
Gradient Descent, Step-by-Step
Gradient Descent in 3 minutes
Gradient Descent in 3 minutes
Gradient Descent Explained
Gradient Descent Explained
Gradient Descent vs Evolution | How Neural Networks Learn
Gradient Descent vs Evolution | How Neural Networks Learn
Machine Learning Crash Course: Gradient Descent
Machine Learning Crash Course: Gradient Descent
Stochastic Gradient Descent, Clearly Explained!!!
Stochastic Gradient Descent, Clearly Explained!!!
Введение в градиентный спуск || Оптимизация многомерных уравнений
Введение в градиентный спуск || Оптимизация многомерных уравнений
22. Gradient Descent: Downhill to a Minimum
22. Gradient Descent: Downhill to a Minimum
Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018)
Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018)
GradIEEEnt наполовину приличный: скрытая сила неточных линий
GradIEEEnt наполовину приличный: скрытая сила неточных линий
STOCHASTIC Gradient Descent (in 3 minutes)
STOCHASTIC Gradient Descent (in 3 minutes)
23. Accelerating Gradient Descent (Use Momentum)
23. Accelerating Gradient Descent (Use Momentum)
Why Convexity Matters in Machine Learning - Gradient Descent Part 1
Why Convexity Matters in Machine Learning - Gradient Descent Part 1
Gradient Descent in 100 Seconds
Gradient Descent in 100 Seconds
25. Stochastic Gradient Descent
25. Stochastic Gradient Descent
Как работает градиентный спуск. Простое объяснение
Как работает градиентный спуск. Простое объяснение
Самый важный алгоритм в машинном обучении
Самый важный алгоритм в машинном обучении
The Misconception that Almost Stopped AI [How Models Learn Part 1]
The Misconception that Almost Stopped AI [How Models Learn Part 1]
Machine Learning Lecture 12
Machine Learning Lecture 12 "Gradient Descent / Newton's Method" -Cornell CS4780 SP17