Видео с ютуба Function Approximation

RL Course by David Silver - Lecture 6: Value Function Approximation

RL Course by David Silver - Lecture 6: Value Function Approximation
Function Approximation | Reinforcement Learning Part 5

Function Approximation | Reinforcement Learning Part 5
Function Approximation using Tile Coding

Function Approximation using Tile Coding
Visualization of the universal approximation theorem

Visualization of the universal approximation theorem
Approximating Functions in a Metric Space

Approximating Functions in a Metric Space
Approximating a function visualized #deeperlearning #machinelearning #neuralnetwork

Approximating a function visualized #deeperlearning #machinelearning #neuralnetwork
Regression and Function Approximation

Regression and Function Approximation
Function Approximation

Function Approximation
Аппроксиманты Паде

Аппроксиманты Паде
DeepMind x UCL RL Lecture Series - Function Approximation [7/13]

DeepMind x UCL RL Lecture Series - Function Approximation [7/13]
Function approximation by using neural network. (Machine learning, Deep learning)

Function approximation by using neural network. (Machine learning, Deep learning)
Непрерывно всюду, но нигде не дифференцируемо: визуализация функции Вейерштрасса!

Непрерывно всюду, но нигде не дифференцируемо: визуализация функции Вейерштрасса!
Reinforcement Learning 5: Function Approximation and Deep Reinforcement Learning

Reinforcement Learning 5: Function Approximation and Deep Reinforcement Learning
Cengiz Pehlevan: A Function Approximation of Perspective on Sensory Representations | IACS Seminar

Cengiz Pehlevan: A Function Approximation of Perspective on Sensory Representations | IACS Seminar
Taylor series | Chapter 11, Essence of calculus

Taylor series | Chapter 11, Essence of calculus
Why Neural Networks can learn (almost) anything

Why Neural Networks can learn (almost) anything
The Subtle Reason Taylor Series Work | Smooth vs. Analytic Functions

The Subtle Reason Taylor Series Work | Smooth vs. Analytic Functions
Откройте для себя линейную аппроксимацию!!

Откройте для себя линейную аппроксимацию!!
Can you really use ANY activation function? (Universal Approximation Theorem)

Can you really use ANY activation function? (Universal Approximation Theorem)