Главная
Study mode:
on
You
History
Saved
In progress 0 courses
compleat 0 courses
#Art & Design #Adobe #ChatGPT #GitHub

#Function Approximation

Showing: 26 courses

Reinforcement Learning Course

0 rewiews
Comprehensive exploration of reinforcement learning concepts, from basics to advanced topics, including deep RL, policy gradients, and practical applications in classic games.
Add to list
10 Lesons
17 hours
On-Demand
Free-Video
3Blue1Brown

Taylor Series

0 rewiews
Explore the power of Taylor polynomials for approximations and analysis, covering cos(x), e^x, geometric interpretations, and convergence issues in this animated math lesson.
Add to list
5 Lesons
22 minutes
On-Demand
Free-Video
Institute for Advanced Study

The Challenges of Model-Based Reinforcement Learning and How to Overcome Them - Csaba Szepesvári

0 rewiews
Explore challenges in model-based reinforcement learning, including modeling errors and efficient planning, and discover strategies to overcome them in complex environments.
Add to list
24 Lesons
1 hour 39 minutes
On-Demand
Free-Video
Simons Institute

Online Reinforcement Learning and Regret

0 rewiews
Explore online learning in reinforcement learning, focusing on regret analysis under Markovian dynamics, function approximation, and structural challenges in unknown model scenarios.
Add to list
1 Lesons
1 hour 17 minutes
On-Demand
Free-Video
Professor Leonard

Calculus 2 - Approximation of Functions by Taylor Polynomials

0 rewiews
Explore the approximation of functions using Taylor polynomials, a powerful mathematical tool for estimating complex functions with simpler polynomial expressions.
Add to list
1 Lesons
1 hour 34 minutes
On-Demand
Free-Video
Professor Leonard

Calculus 2 - Representation of Functions by Taylor Series and Maclaurin Series

0 rewiews
Explore Taylor and Maclaurin series for representing functions, enhancing your understanding of advanced calculus concepts and their practical applications.
Add to list
1 Lesons
3 hours 2 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Introduction to Orthogonal Polynomials - Lecture 41

0 rewiews
Explore orthogonal polynomials: definition, properties, examples, and mapping to standard intervals. Gain insights into this fundamental mathematical concept.
Add to list
1 Lesons
17 minutes
On-Demand
Free-Video
Georgia Tech Research

Mathematics for Deep Neural Networks: Advantages of Additional Layers - Lecture 3

0 rewiews
Explore the mathematical advantages of deep neural networks over shallow networks, focusing on localization, approximation capabilities, and the Kolmogorov-Arnold theorem.
Add to list
1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Inside Livermore Lab

Machine-Precision Neural Networks for Multiscale Dynamics

0 rewiews
Discover how multi-stage neural networks can achieve machine-precision accuracy in scientific predictions, addressing spectral bias and improving deep learning applications in multiscale physics problems.
Add to list
1 Lesons
1 hour 9 minutes
On-Demand
Free-Video
Alan Turing Institute

Deep Learning for Scientific Computing - Two Stories on the Gap Between Theory & Practice - Ben Adcock

0 rewiews
Explores deep learning in scientific computing, highlighting limitations and recent theoretical advancements in high-dimensional function approximation and inverse problems for imaging, aiming to bridge the gap between theory and practice.
Add to list
24 Lesons
56 minutes
On-Demand
Free-Video
Simons Institute

What Are the Statistical Limits of Offline Reinforcement Learning With Function Approximation?

0 rewiews
Explore statistical limitations in offline reinforcement learning with function approximation, covering realizability, coverage, policy evaluation, and practical considerations.
Add to list
26 Lesons
55 minutes
On-Demand
Free-Video
Simons Institute

Online Learning in Markov Decision Processes - Part 2

0 rewiews
Explore advanced concepts in Markov Decision Processes, including adversarial scenarios, regret analysis, and algorithms for online learning in dynamic environments.
Add to list
27 Lesons
1 hour 13 minutes
On-Demand
Free-Video
International Mathematical Union

Theory of Graph Neural Networks: Representation and Learning

0 rewiews
Explore the theory behind Graph Neural Networks, covering approximation, learning properties, and connections to graph isomorphism, equivariant functions, and dynamic programming.
Add to list
22 Lesons
46 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

On the Statistical Complexity of Reinforcement Learning

0 rewiews
Explores statistical complexities in reinforcement learning, covering sample complexity, regret analysis, and off-policy evaluation. Discusses minimax-optimal approaches and function approximation in MDPs.
Add to list
18 Lesons
47 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

On the Topological Expressiveness of Neural Networks

0 rewiews
Explore the topological constraints of neural network architectures and their impact on function representation, with insights from recent research and ongoing work in the field.
Add to list
1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Jeff Heaton

Deep Neural Network Autoencoders in TensorFlow and Keras - Part 1

0 rewiews
Learn to create and implement autoencoders in Keras and TensorFlow, including denoising autoencoders, for deep neural network applications in image processing and function approximation.
Add to list
6 Lesons
22 minutes
On-Demand
Free-Video
Paul G. Allen School

ADSI Summer Workshop- Algorithmic Foundations of Learning and Control

0 rewiews
Explore model-based control for physical systems, covering inverse dynamics, optimization techniques, and automated discovery methods for advanced robotics and control applications.
Add to list
11 Lesons
49 minutes
On-Demand
Free-Video
Alan Turing Institute

Approximation of Generalized Ridge Functions in High Dimensions – Sandra Keiper

0 rewiews
Explores mathematical approaches to reconstruct complex processes in high dimensions, focusing on approximation theory and techniques to overcome the curse of dimensionality.
Add to list
1 Lesons
47 minutes
On-Demand
Free-Video
ACM SIGPLAN

Implementation and Synthesis of Math Library Functions

0 rewiews
Explore MegaLibm, a domain-specific language for implementing, testing, and tuning math library functions. Learn how it enhances safety, modularity, and tunability in mathematical software development.
Add to list
1 Lesons
20 minutes
On-Demand
Free-Video
Uncertainty in Artificial Intelligence

Provably Efficient Adversarial Imitation Learning with Unknown Transitions - Oral Session 4

0 rewiews
Explore provably efficient adversarial imitation learning with unknown transitions. Discover a framework connecting reward-free exploration and AIL, and learn about the MB-TAIL algorithm's optimal performance and generalization ability.
Add to list
1 Lesons
27 minutes
On-Demand
Free-Video
The Julia Programming Language

Interpretable Hierarchical Calibration of Agent-Based Models

0 rewiews
Explore scientific machine learning's fusion of traditional modeling and ML, focusing on neural network surrogates for agent-based models in epidemiology and automated hierarchical calibration.
Add to list
1 Lesons
27 minutes
On-Demand
Free-Video
NCCR SwissMAP

Learning Sparse Boolean Functions: Neural Networks Need a Hierarchical Degree Chain

0 rewiews
Explore neural networks' hierarchical degree chain for learning sparse Boolean functions. Gain insights from EPFL expert E. Abbé.
Add to list
1 Lesons
49 minutes
On-Demand
Free-Video
HUJI Machine Learning Club

Benefits of Deep and Narrow Neural Networks for Approximation and Memorization

0 rewiews
Explore groundbreaking research on neural networks' architecture, revealing why depth trumps width in function approximation and how deep, narrow networks can efficiently memorize data using minimal parameters.
Add to list
1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Inside Livermore Lab

Networks that Adapt to Intrinsic Dimensionality Beyond the Domain

0 rewiews
Explore neural networks' ability to adapt to intrinsic dimensionality, focusing on ReLU networks approximating functions with dimensionality-reducing feature maps. Gain insights into manifold learning and data analysis.
Add to list
21 Lesons
1 hour
On-Demand
Free-Video
Schmid College, Chapman University

The Perceptron as a Roadmap - From Neuron Structure to Artificial Neural Networks

0 rewiews
Explore the evolution of neural networks from biological neurons to machine learning, using the perceptron as a guide. Uncover connections to associative memories, function approximation, and surprising mathematical links.
Add to list
1 Lesons
1 hour 25 minutes
On-Demand
Free-Video
Simons Institute

Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains

0 rewiews
Explore advanced concepts in domain adaptation and model extrapolation, focusing on nonlinear models' behavior in unseen domains through theoretical and practical analysis.
Add to list
1 Lesons
42 minutes
On-Demand
Free-Video