Logistic Regression Explained Visually | Sigmoid, Decision Boundary & Log Loss From Scratch
3:13
Logistic Regression Explained Visually | Sigmoid, Decision Boundary & Log Loss From Scratch
81 views2 weeks ago
YouTubeVector Shield
Ep 62: The Loss Function — How Models Know They're Improving | LLM Mastery Podcast
21:24
Ep 62: The Loss Function — How Models Know They're Improving | LLM Mastery Podcast
9 views1 month ago
YouTubecarlos Hernandez
Cross Entropy Loss From Scratch - TutorialIn this tutorial you'll learn how cross entropy loss works in large language models. We cover why LLMs assign probabilities to tokens, how the negative log likelihood formula penalizes wrong predictions, worked examples showing how loss changes with different probability values, and how backpropagation uses this loss to train the model. By the end you'll understand exactly how LLMs learn to predict the next token.0:00 Introduction — tokens and next token
4:36
Cross Entropy Loss From Scratch - TutorialIn this tutorial you'll learn how cross entropy loss works in large language models. We cover why LLMs assign probabilities to tokens, how the negative log likelihood formula penalizes wrong predictions, worked examples showing how loss changes with different probability values, and how backpropagation uses this loss to train the model. By the end you'll understand exactly how LLMs learn to predict the next token.0:00 Introduction — tokens and next token
748 views3 weeks ago
x.comVuk Rosić 武克
Loss Functions - EXPLAINED!
8:30
Loss Functions - EXPLAINED!
163.7K viewsJan 20, 2020
YouTubeCodeEmporium
Logistic Regression Cost Function (C1W2L03)
8:12
Logistic Regression Cost Function (C1W2L03)
158.8K viewsAug 25, 2017
YouTubeDeepLearningAI
Loss Functions Explained
12:56
Loss Functions Explained
115.9K viewsJul 24, 2018
YouTubeSiraj Raval
Understanding VSWR and Return Loss
10:10
Understanding VSWR and Return Loss
341.5K viewsOct 18, 2019
YouTubeRohde & Schwarz
28:24
Likelihood | Log likelihood | Sufficiency | Multiple parameters
195.1K viewsJul 26, 2018
YouTubezedstatistics
2:46
Dijkstra's algorithm in 3 minutes
2M viewsSep 16, 2014
YouTubeMichael Sambol
12:03
Lognormal distribution, Concepts and Applications
40.3K viewsApr 29, 2020
YouTubeInstitute of Quality and Reliability
10:23
Logistic Regression Details Pt 2: Maximum Likelihood
540.7K viewsJun 11, 2018
YouTubeStatQuest with Josh Starmer
1:14:40
Lecture 3 | Loss Functions and Optimization
950.1K viewsAug 11, 2017
YouTubeStanford University School of Engineering
14:16
PyTorch Tutorial 06 - Training Pipeline: Model, Loss, and Optimizer
133.9K viewsDec 28, 2019
YouTubePatrick Loeber
9:14
Logistic Regression - THE MATH YOU SHOULD KNOW!
173.5K viewsJan 18, 2018
YouTubeCodeEmporium
24:47
Dijkstra's Shortest Path Algorithm | Graph Theory
242.3K viewsJun 20, 2018
YouTubeWilliamFiset
11:23
L-4.11: Dijkstra's Algorithm Analysis | Time Complexity | Pseudocode Explanation
824.5K viewsMar 30, 2021
YouTubeGate Smashers
8:42
Log Loss or Cross-Entropy Cost Function in Logistic Regression
52.4K viewsApr 7, 2019
YouTubeBhavesh Bhatt
15:01
Bellman Ford Algorithm | Shortest path & Negative cycles | Graph Theory
288K viewsSep 20, 2017
YouTubeWilliamFiset
5:24
Intuitively Understanding the Cross Entropy Loss
139.4K viewsJul 5, 2021
YouTubeAdian Liusie
19:57
L8.3 Logistic Regression Loss Derivative and Training
8.7K viewsFeb 23, 2021
YouTubeSebastian Raschka
14:58
Wireless Propagation Mechanisms and Introduction to Propagation Models
71K viewsDec 2, 2019
YouTubeGURUKULA
41:14
8. Loss Functions for Regression and Classification
23.1K viewsJul 11, 2018
YouTubeInside Bloomberg
8:51
Chapter 7 Log linear and log log models
30.5K viewsApr 18, 2020
YouTubeTia Hilmer
9:57
Shortest/Longest path on a Directed Acyclic Graph (DAG) | Graph Theory
190.9K viewsOct 19, 2017
YouTubeWilliamFiset
27:47
154 - Understanding the training and validation loss curves
124.3K viewsSep 1, 2020
YouTubeDigitalSreeni
23:36
Log Distance model and Log Normal Shadowing | Wireless Communication
35.5K viewsJan 8, 2020
YouTubeGURUKULA
19:19
Machine Learning Tutorial Python - 8: Logistic Regression (Binary Classification)
758.2K viewsSep 7, 2018
YouTubecodebasics
43:15
Lecture 16: Log Distance and Log Normal Shadowing for practical link budget analysis
16.9K viewsAug 28, 2018
YouTubeLearning Express
6:44
Log normal distribution | Math, Statistics for data science, machine learning
150.2K viewsMay 14, 2021
YouTubecodebasics
24:37
Loss or Cost Function | Deep Learning Tutorial 11 (Tensorflow Tutorial, Keras & Python)
194.5K viewsAug 14, 2020
YouTubecodebasics
See more