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

#Overfitting

Showing: 86 courses
California Institute of Technology

Machine Learning Course

0 rewiews
Comprehensive exploration of machine learning fundamentals, covering linear models, neural networks, SVMs, and key principles for effective algorithm implementation and evaluation.
Add to list
18 Lesons
1 day
On-Demand
Free-Video

Neural Networks Demystified

0 rewiews
In this short series, we will build and train a complete Artificial Neural Network in python.
Add to list
7 Lesons
30 minutes
On-Demand
Free-Video
Santa Fe Institute

Rational Ignorance - Optimal Learning from Complex Mechanistic Models

0 rewiews
Explore optimal Bayesian learning from complex models, challenging traditional approaches and proposing a new method to maximize expected information while avoiding bias in multiparameter systems.
Add to list
18 Lesons
1 hour 15 minutes
On-Demand
Free-Video
Kaggle

Intro to Machine Learning

0 rewiews
Dive into machine learning fundamentals with engaging videos covering models, data exploration, validation, and advanced concepts like random forests and AutoML.
Add to list
8 Lesons
30 minutes
On-Demand
Free-Video
University of Central Florida

Regularization of Big Neural Networks

0 rewiews
Explore regularization techniques for large neural networks, including DropOut, DropConnect, and stochastic pooling. Learn about deconvolutional networks and their applications in computer vision tasks.
Add to list
32 Lesons
53 minutes
On-Demand
Free-Video
University of Central Florida

Training Neural Networks - Part II - Lecture 11

0 rewiews
Explore advanced neural network training techniques, including loss functions, learning rates, momentum, and strategies to prevent overfitting for improved computer vision model performance.
Add to list
12 Lesons
1 hour 13 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

The Price of Implicit Bias in Robust Machine Learning

0 rewiews
Explore the impact of implicit bias on robust machine learning, examining challenges in neural network performance and generalization gaps in worst-case scenarios.
Add to list
1 Lesons
46 minutes
On-Demand
Free-Video
Simons Institute

Does Generalization Imply Accuracy on the Line? A New Look at Robust Generalization

0 rewiews
Explore the relationship between generalization and accuracy in machine learning, examining robust generalization through a fresh perspective.
Add to list
1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Simons Institute

Unexpected Test Losses from Generalization Theory

0 rewiews
Dive into generalization theory's impact on unexpected test losses, exploring emerging settings and their implications for machine learning models.
Add to list
1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Simons Institute

Generalization from the Behavioral Perspective

0 rewiews
Dive into the behavioral perspective of generalization, exploring emerging settings and their implications in machine learning and data analysis.
Add to list
1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Institute for Advanced Study

Do Simpler Models Exist and How Can We Find Them? - Cynthia Rudin

0 rewiews
Explore simpler, interpretable machine learning models and their advantages in criminal justice and beyond. Learn about the Rashomon set, decision trees, and strategies to combat overfitting.
Add to list
16 Lesons
58 minutes
On-Demand
Free-Video
Institute for Advanced Study

What Do Our Models Learn? - Aleksander Mądry

0 rewiews
Exploring machine learning model behavior, biases in datasets, and challenges in dataset creation and replication for more robust and reliable AI systems.
Add to list
25 Lesons
1 hour 28 minutes
On-Demand
Free-Video
Institute for Advanced Study

Brief Introduction to Deep Learning and the "Alchemy" Controversy - Sanjeev Arora

0 rewiews
Explore deep learning's scientific foundations and the "Alchemy" debate, examining optimization, overfitting, and the interpreter problem in neural networks.
Add to list
17 Lesons
40 minutes
On-Demand
Free-Video

TensorFlow Tutorials 神经网络 教学 教程

0 rewiews
从零开始学习TensorFlow构建神经网络，涵盖基础概念、CNN、RNN等高级主题，通过实例和可视化深入理解深度学习原理和应用。
Add to list
44 Lesons
7 hours
On-Demand
Free-Video
media.ccc.de

Demystifying AI - Understanding Machine Learning Fundamentals

0 rewiews
Fundierte Einführung in Künstliche Intelligenz: Grundlagen des maschinellen Lernens, mathematische Konzepte und Herausforderungen werden verständlich erklärt. Praktische Tipps für den Einstieg inklusive.
Add to list
1 Lesons
47 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

Regularization via Permutation of Labels - Lecture 1

0 rewiews
Explore regularization techniques using label permutation in mathematical statistics, focusing on innovative approaches and their applications.
Add to list
1 Lesons
52 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Institutions, Innovation, and the Social Production of Collective (Un)Intelligence

0 rewiews
Explore how institutions and innovation shape collective intelligence, examining scientific attention, discovery limitations, and strategies for fostering creativity in research and knowledge production.
Add to list
14 Lesons
32 minutes
On-Demand
Free-Video
Yannic Kilcher

Do ImageNet Classifiers Generalize to ImageNet? - Paper Explained

0 rewiews
Exploring ImageNet classifiers' generalization capabilities through new test datasets, revealing surprising accuracy drops and insights into model performance on slightly "harder" images.
Add to list
7 Lesons
26 minutes
On-Demand
Free-Video
Serrano.Academy

Decision Trees - A Friendly Introduction

0 rewiews
Learn to build and train decision trees through a simple example, exploring key concepts like data splitting, overfitting prevention, and alternative evaluation metrics.
Add to list
12 Lesons
22 minutes
On-Demand
Free-Video
Steve Brunton

Robust, Interpretable Statistical Models - Sparse Regression with the LASSO

0 rewiews
Explore sparse regression and LASSO algorithm for building interpretable, robust models with minimal variables. Learn key concepts and applications in data science and machine learning.
Add to list
1 Lesons
28 minutes
On-Demand
Free-Video
NDC Conferences

The Elephant in your Dataset: Addressing Bias in Machine Learning

0 rewiews
Explore bias in machine learning, its societal impact, and strategies to mitigate it. Learn to create fair and ethical AI systems through hands-on examples and cutting-edge research.
Add to list
1 Lesons
43 minutes
On-Demand
Free-Video
BIMSA

Graphon Cross-Validation: Assessing Models on Network Data

0 rewiews
Explore graphon cross-validation techniques for network data analysis, enhancing model accuracy and generalizability through innovative validation methods and theoretical insights.
Add to list
1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Institute for Mathematical Sciences

Beating the Odds - Learning or Hallucinating? The Science of Data Today

0 rewiews
Explore the intersection of data science, learning, and hallucination with insights from a renowned mathematician on current trends and challenges in the field.
Add to list
1 Lesons
1 hour 17 minutes
On-Demand
Free-Video
Open Data Science

Prepping Data for Analysis Using R

0 rewiews
Learn techniques for preparing data for analysis using R, covering common issues, automated solutions, and practical demonstrations for handling missing values and categorical variables.
Add to list
29 Lesons
1 hour 34 minutes
On-Demand
Free-Video
Data Science Conference

Introduction to Lasso and Ridge Regression Models in R

0 rewiews
Master linear regression regularization techniques through Lasso and Ridge methods in R, focusing on preventing overfitting and improving model reliability for more accurate predictions and estimations.
Add to list
1 Lesons
2 hours 10 minutes
On-Demand
Free-Video
UofU Data Science

Machine Learning Mid-Semester Review - Lecture 15

0 rewiews
Dive into a comprehensive mid-semester review of fundamental machine learning concepts, covering key principles and techniques explored throughout the academic term.
Add to list
1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Discover AI

Understanding Grokking - A New Performance Phase in Large Language Models

0 rewiews
Discover how extended training of LLMs leads to "grokking" - a breakthrough phase where models develop superior generalization abilities and form geometric patterns in embedding spaces.
Add to list
1 Lesons
30 minutes
On-Demand
Free-Video
UofU Data Science

Machine Learning Fundamentals - Lecture 4

0 rewiews
Dive into advanced machine learning concepts and algorithms through comprehensive coverage of key theoretical foundations and practical implementations in data science.
Add to list
1 Lesons
1 hour 22 minutes
On-Demand
Free-Video
UofU Data Science

Machine Learning Fundamentals - Lecture 2

0 rewiews
Dive into machine learning fundamentals with a comprehensive exploration of decision trees, data classification techniques, and algorithmic approaches to pattern recognition.
Add to list
1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
UofU Data Science

Machine Learning Fundamentals - Lecture 7

0 rewiews
Dive into advanced machine learning concepts and algorithms through comprehensive coverage of key theoretical foundations and practical implementations in data science.
Add to list
1 Lesons
1 hour 22 minutes
On-Demand
Free-Video
UofU Data Science

Machine Learning Fundamentals - Lecture 5

0 rewiews
Dive into advanced machine learning concepts and techniques through comprehensive coverage of key algorithms, theoretical foundations, and practical applications in data science.
Add to list
1 Lesons
1 hour 22 minutes
On-Demand
Free-Video
UofU Data Science

Decision Trees in Machine Learning: Practical Concerns and Overfitting - Lecture 5

0 rewiews
Delve into practical aspects of decision tree learning, exploring implementation challenges and understanding how to address overfitting in machine learning models.
Add to list
1 Lesons
1 hour 19 minutes
On-Demand
Free-Video
UofU Data Science

Decision Trees and Overfitting in Machine Learning - Lecture 6

0 rewiews
Dive into advanced concepts of decision trees, focusing on overfitting challenges and practical solutions for building more robust machine learning models.
Add to list
1 Lesons
47 minutes
On-Demand
Free-Video
Simons Institute

Reconsidering Overfitting in the Age of Overparameterized Models

0 rewiews
Explore modern machine learning paradigms, focusing on overparameterized models' ability to generalize well despite near-zero training error, challenging classical overfitting concepts.
Add to list
1 Lesons
1 hour 18 minutes
On-Demand
Free-Video
Andrej Karpathy

Building Makemore - MLP

0 rewiews
Implement a multilayer perceptron character-level language model, covering machine learning basics like model training, hyperparameter tuning, evaluation, and addressing under/overfitting.
Add to list
19 Lesons
1 hour 16 minutes
On-Demand
Free-Video
StatQuest with Josh Starmer

Regularization Part 1 - Ridge (L2) Regression

0 rewiews
Learn Ridge Regression to prevent overfitting, solve unsolvable equations, and optimize models. Covers main ideas, details, applications for various data types and models, and usage with limited data.
Add to list
9 Lesons
20 minutes
On-Demand
Free-Video
Graham Neubig

Neural Nets for NLP - Debugging Neural Nets for NLP

0 rewiews
Practical strategies for debugging and optimizing neural networks in NLP, covering issues like training, overfitting, initialization, and evaluation metrics.
Add to list
22 Lesons
59 minutes
On-Demand
Free-Video
Graham Neubig

Debugging Neural Nets for NLP

0 rewiews
Comprehensive guide to diagnosing and resolving issues in neural networks for NLP, covering training, decoding, overfitting, and optimization techniques.
Add to list
17 Lesons
1 hour 14 minutes
On-Demand
Free-Video
Graham Neubig

Neural Nets for NLP - Debugging Neural Nets

0 rewiews
Learn techniques for identifying and resolving issues in neural networks for NLP, covering training and test-time problems, optimization strategies, and performance analysis.
Add to list
25 Lesons
1 hour 15 minutes
On-Demand
Free-Video
Graham Neubig

CMU Advanced NLP: Text Classification

0 rewiews
Comprehensive introduction to neural networks for NLP, covering core concepts like forward/backward algorithms, parameter updates, and training techniques for text classification tasks.
Add to list
21 Lesons
1 hour 14 minutes
On-Demand
Free-Video
Robert Feranec

Machine Learning Explained - Teaching a Robot to Walk Tutorial

0 rewiews
Comprehensive tutorial on machine learning concepts, from handwriting recognition to reinforcement learning, with practical demonstrations using neural networks and robot simulations.
Add to list
17 Lesons
2 hours 49 minutes
On-Demand
Free-Video
1littlecoder

Overfitting, Underfitting, and Random Forests in Machine Learning - Day 10

0 rewiews
Explore overfitting, underfitting, and random forests in machine learning. Learn to build accurate models and apply these concepts to improve your ML skills.
Add to list
7 Lesons
39 minutes
On-Demand
Free-Video
Yannic Kilcher

Grokking - Generalization Beyond Overfitting on Small Algorithmic Datasets

0 rewiews
Explore the fascinating "grokking" phenomenon in neural networks, where sudden pattern recognition leads to perfect generalization. Discover its implications for deep learning and algorithmic datasets.
Add to list
11 Lesons
30 minutes
On-Demand
Free-Video
Valerio Velardo - The Sound of AI

Solving Overfitting in Neural Networks

0 rewiews
Learn techniques to identify and prevent overfitting in neural networks, including early stopping, audio data augmentation, dropout, and L1/L2 regularization, with practical implementation in a music genre classifier.
Add to list
13 Lesons
26 minutes
On-Demand
Free-Video
Richard McElreath

Statistical Rethinking 2022 - Overfitting

0 rewiews
Explore overfitting in statistical modeling, covering cross-validation, regularization, information criteria, and robust regression techniques for improved predictive accuracy.
Add to list
10 Lesons
1 hour 12 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Does Learning Require Memorization? A Short Tale About a Long Tail

0 rewiews
Explore the relationship between learning and memorization in machine learning, focusing on dataset fitting, interpolation, and long-tailed data distribution challenges.
Add to list
16 Lesons
25 minutes
On-Demand
Free-Video
Rob Mulla

Complete Guide to Cross Validation

0 rewiews
Comprehensive guide to cross-validation in machine learning, covering setup, datasets, common pitfalls, train-test splits, and practical applications using scikit-learn in Python.
Add to list
8 Lesons
30 minutes
On-Demand
Free-Video
Simons Institute

Offline Deep Reinforcement Learning Algorithms

0 rewiews
Explore offline deep reinforcement learning algorithms, their challenges, and solutions like conservative Q-learning, with insights on modern machine learning and overcoming distributional shift.
Add to list
10 Lesons
32 minutes
On-Demand
Free-Video
Simons Institute

From Classical Statistics to Modern Machine Learning

0 rewiews
Explore the evolution from classical statistics to modern machine learning, examining key concepts like generalization, interpolation, and the "double descent" phenomenon in supervised learning.
Add to list
23 Lesons
50 minutes
On-Demand
Free-Video
Open Data Science

ODSC London Meet-up - Deep Learning Frameworks

0 rewiews
Explore deep learning frameworks, algorithms, and state-of-the-art developments with industry expert Peter Morgan in this comprehensive overview of neural network technologies.
Add to list
29 Lesons
41 minutes
On-Demand
Free-Video
MITCBMM

Interpolation and Learning With Scale Dependent Kernels

0 rewiews
Explore scale-dependent kernels in machine learning, covering overfitting, statistical theory, and practical applications in regression and interpolation.
Add to list
11 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Jeff Heaton

Security and Information Assurance with Deep Learning

0 rewiews
Explore deep learning applications in security, focusing on intrusion detection systems and common pitfalls. Learn about complex security data and real-world examples of machine learning challenges.
Add to list
16 Lesons
21 minutes
On-Demand
Free-Video
Nvidia

NVIDIA Deep Learning: Getting Started with DIGITS - Class 2

0 rewiews
Learn to create, test, and optimize deep neural networks using NVIDIA's DIGITS tool for image classification tasks, with hands-on examples and practical deployment strategies.
Add to list
19 Lesons
1 hour 2 minutes
On-Demand
Free-Video
MITCBMM

Fit Without Fear - An Over-Fitting Perspective on Modern Deep and Shallow Learning

0 rewiews
Explore over-fitting in modern machine learning, challenging conventional wisdom and presenting kernel methods as a competitive alternative to deep learning. Insights on interpolation, generalization, and stochastic gradient descent.
Add to list
31 Lesons
55 minutes
On-Demand
Free-Video
Paul G. Allen School

Do ImageNet Classifiers Generalize to ImageNet? - Analyzing ML Progress and Challenges

0 rewiews
Analyzing ImageNet classifiers' generalization, exploring overfitting and distribution shift in ML benchmarks, and addressing robustness issues like adversarial examples to improve machine learning reliability.
Add to list
1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
PyCon US

Avoid the Top 5 Web Data Pitfalls When Developing AI Models

0 rewiews
Explore strategies to overcome common challenges in AI model development, including data bias, insufficient variety, overfitting, poor quality, and data drift. Learn to create more robust and effective AI models.
Add to list
1 Lesons
40 minutes
On-Demand
Free-Video
PioPetro

Supervised Learning Algorithms - Lecture 3

0 rewiews
Explore supervised learning algorithms, model evaluation, and Python implementation for classification and regression tasks in petroleum engineering and energy transition.
Add to list
12 Lesons
44 minutes
On-Demand
Free-Video
Strange Loop Conference

Machine Learning Failures - For Art

0 rewiews
Explore hilarious machine learning failures in art, from cookie recipes to pony classification, and learn how to deliberately create amusing AI mistakes.
Add to list
43 Lesons
39 minutes
On-Demand
Free-Video
Devoxx

A Practical Introduction to Convnets for Image Classification

0 rewiews
Practical guide to developing CNN-based image classification pipelines, covering dataset handling, architecture design, training, and evaluation. Explores real-world applications in robotics and biomedicine.
Add to list
1 Lesons
51 minutes
On-Demand
Free-Video
WeAreDevelopers

Remaining Challenges in Deep Learning Based NLP

0 rewiews
Explores remaining challenges in Deep Learning-based NLP, including data limitations, performance metrics, robustness issues, representation problems, and lack of interpretability, despite recent advancements and media hype.
Add to list
14 Lesons
31 minutes
On-Demand
Free-Video
JSConf

How to Cheat at Life with JS, CV, and AR

0 rewiews
Explore JavaScript, Computer Vision, and Augmented Reality to create innovative solutions for beating the card game Set, with practical examples and insights.
Add to list
9 Lesons
26 minutes
On-Demand
Free-Video
NDC Conferences

Developer Accessible Machine Learning

0 rewiews
Explore building and training a basic prediction model, understanding its workings, and incorporating cloud solutions into projects. No mathematical expertise required.
Add to list
10 Lesons
43 minutes
On-Demand
Free-Video
DigitalSreeni

Understanding the Training and Validation Loss Curves

0 rewiews
Interpret loss curves from neural network training using Wisconsin breast cancer dataset. Explore various scenarios including underfitting and good fit.
Add to list
11 Lesons
28 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Training a Neural Network: Underfitting and Overfitting

0 rewiews
Learn techniques for training neural networks, including strategies to prevent underfitting and overfitting, enhancing model performance and generalization.
Add to list
1 Lesons
12 minutes
On-Demand
Free-Video
Serrano.Academy

Machine Learning - Testing and Error Metrics

0 rewiews
Explore machine learning model evaluation, including metrics, error types, cross-validation, and optimization techniques for improved performance and decision-making.
Add to list
30 Lesons
45 minutes
On-Demand
Free-Video
UofU Data Science

Decision Trees and Overfitting in Machine Learning - Lecture 5

0 rewiews
Dive into practical aspects of decision tree learning, exploring overfitting challenges and essential implementation considerations in machine learning applications.
Add to list
1 Lesons
59 minutes
On-Demand
Free-Video
UofU Data Science

Machine Learning: Least Mean Square Regression - Lecture 12

0 rewiews
Dive into advanced linear regression concepts, exploring overfitting, gradient descent, and practical plotting techniques for enhanced machine learning understanding.
Add to list
7 Lesons
32 minutes
On-Demand
Free-Video
Molecular Imaging & Therapy

A Guide to Cross-Validation for AI - Avoiding Overfitting and Ensuring Generalizability

0 rewiews
Explore cross-validation techniques for AI, including K-fold and nested methods. Learn to avoid overfitting, ensure generalizability, and select optimal approaches for model evaluation.
Add to list
14 Lesons
49 minutes
On-Demand
Free-Video
ChemicalQDevice

Parallel Quantum Algorithms Innovation: PyTorch, Keras, and QiML

0 rewiews
Explore parallel quantum algorithms for machine learning using PyTorch and Keras. Enhance model accuracy and efficiency by incorporating quantum layers in neural networks.
Add to list
1 Lesons
58 minutes
On-Demand
Free-Video
SQLBits

Common Data Science Mistakes and How to Avoid Them

0 rewiews
Explore common statistical and data science pitfalls, learning to identify and avoid crucial errors in analysis and interpretation.
Add to list
1 Lesons
48 minutes
On-Demand
Free-Video
Data Council

Everything I Know About Data Science I Learned from Model Railroading

0 rewiews
Explore parallels between data science and model railroading, uncovering valuable insights for building real-world models and improving data science practices.
Add to list
1 Lesons
32 minutes
On-Demand
Free-Video
Institut des Hautes Etudes Scientifiques (IHES)

Early Alignment in Two-Layer Networks Training: A Two-Edged Sword

0 rewiews
Explore early alignment in two-layer network training, examining its dual nature as both beneficial and potentially problematic for neural network performance.
Add to list
1 Lesons
52 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Overfitting: Benign, Tempered and Harmful - Lecture on Machine Learning Regularization

0 rewiews
Explore the nuanced understanding of overfitting in neural networks, examining benign, tempered, and harmful effects on model performance based on data properties and training conditions.
Add to list
1 Lesons
51 minutes
On-Demand
Free-Video
IPhT-TV

Mathematical Problems in Machine Learning - Part 2 of 4

0 rewiews
Explore mathematical foundations of machine learning with Andrea Montanari, focusing on key problems and theoretical concepts in the field.
Add to list
1 Lesons
54 minutes
On-Demand
Free-Video
TensorFlow

Intro to Deep Learning - ML Tech Talks

0 rewiews
Comprehensive introduction to deep learning concepts, neural network architectures, and practical applications, featuring TensorFlow examples, code demos, and insights into representation learning and model interpretability.
Add to list
24 Lesons
1 hour 14 minutes
On-Demand
Free-Video
Tejas Kumar

How to Fine-Tune Your Own Language Model - OpenPipe CEO Kyle Corbitt

0 rewiews
Explore fine-tuning language models with OpenPipe's CEO. Learn about model selection, data curation, hyperparameter optimization, and validation processes for efficient AI development and deployment.
Add to list
13 Lesons
1 hour 37 minutes
On-Demand
Free-Video
UofU Data Science

Generalized Linear Models and Linear Regression - Lecture 11

0 rewiews
Dive into advanced statistical concepts including generalized linear models, nonlinear basis functions, and regularization techniques for robust data analysis and point estimation.
Add to list
11 Lesons
1 hour 19 minutes
On-Demand
Free-Video
UofU Data Science

Nonlinear Regression and Regularization in Data Mining - Spring 2023

0 rewiews
Master nonlinear regression concepts, from polynomial mappings to regularization techniques, while learning practical implementation in Python and understanding cross-validation for model optimization.
Add to list
14 Lesons
1 hour 18 minutes
On-Demand
Free-Video
Simons Institute

Modern Paradigms of Generalization - The Heliocentric Model of Aristarchus

0 rewiews
Explore modern generalization paradigms and historical scientific models in this insightful lecture on machine learning theory and its historical parallels.
Add to list
1 Lesons
1 hour 10 minutes
On-Demand
Free-Video
Simons Institute

The Elusive Generalization: Classical Bounds to Double Descent to Grokking

0 rewiews
Explore the evolution of generalization in machine learning, from classical bounds to double descent and grokking, challenging traditional assumptions and practices in the field.
Add to list
1 Lesons
1 hour 20 minutes
On-Demand
Free-Video
Banach Center

From Simplicity to Complexity: The Double Descent Effect in Modern Machine Learning

0 rewiews
Explore the double descent effect in modern machine learning, transitioning from simplicity to complexity. Gain insights into this intriguing phenomenon and its implications.
Add to list
1 Lesons
1 hour 24 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

The Elusive Generalization and Easy Optimization in Machine Learning - Part 1

0 rewiews
Explore generalization in machine learning and optimization by gradient descent, focusing on recent developments and empirical findings in neural networks that challenge traditional theoretical foundations.
Add to list
1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

The Elusive Generalization and Easy Optimization - Part 2

0 rewiews
Explore generalization in machine learning and optimization of non-convex systems through gradient descent, focusing on recent developments and empirical findings in neural networks.
Add to list
1 Lesons
1 hour 20 minutes
On-Demand
Free-Video
MITCBMM

Towards Understanding the Implicit Regularization Effect of SGD

0 rewiews
Explore the implicit regularization effect of Stochastic Gradient Descent, uncovering its impact on optimization and generalization in machine learning models.
Add to list
1 Lesons
1 hour 14 minutes
On-Demand
Free-Video
MITCBMM

Towards Understanding Deep Classifiers Through Neural Collapse

0 rewiews
Explore neural collapse in deep classifiers, examining its impact on model behavior and performance. Gain insights into this phenomenon's role in understanding and improving deep learning systems.
Add to list
1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
HUJI Machine Learning Club

The Elusive Role of High Dimensions in Modern Optimization and Generalization

0 rewiews
Delve into the fascinating role of high-dimensionality in deep learning optimization, exploring how modern neural networks challenge traditional theoretical constraints and achieve unprecedented success.
Add to list
1 Lesons
57 minutes
On-Demand
Free-Video