This video is part of the Udacity course "Deep Learning". Watch the full course at https://www.udacity.com/course/ud730
From playlist Deep Learning | Udacity
Neural Networks Part 6: Cross Entropy
When a Neural Network is used for classification, we usually evaluate how well it fits the data with Cross Entropy. This StatQuest gives you and overview of how to calculate Cross Entropy and Total Cross Entropy. NOTE: This StatQuest assumes that you are already familiar with... The main
From playlist StatQuest
Covariance (1 of 17) What is Covariance? in Relation to Variance and Correlation
Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn the difference between the variance and the covariance. A variance (s^2) is a measure of how spread out the numbers of
From playlist COVARIANCE AND VARIANCE
A better description of entropy
I use this stirling engine to explain entropy. Entropy is normally described as a measure of disorder but I don't think that's helpful. Here's a better description. Visit my blog here: http://stevemould.com Follow me on twitter here: http://twitter.com/moulds Buy nerdy maths things here:
From playlist Best of
Multivariable Calculus: Cross Product
In this video we explore how to compute the cross product of two vectors using determinants.
From playlist Multivariable Calculus
What IS a Cross Section pt. 2: Differential Cross Sections in Particle Physics
Today I discuss how the interpretation of the cross section changes when we both turn on interactions and quantum mechanics. I discuss the importance of the differential cross section in particle physics with a couple examples, including how they can be used as evidence for the existence o
From playlist What is a cross section?
Ex 2: Properties of Cross Products - Cross Product of a Sum and Difference
This video explains how to find the cross product of a sum and difference of two vectors. Site: http://mathispower4u.com
From playlist Vectors in Space (3D)
The vector cross-product is another form of vector multiplication and results in another vector. In this tutorial I show you a simple way of calculating the cross product of two vectors.
From playlist Introducing linear algebra
Neural Networks Part 7: Cross Entropy Derivatives and Backpropagation
Here is a step-by-step guide that shows you how to take the derivative of the Cross Entropy function for Neural Networks and then shows you how to use that derivative for Backpropagation. NOTE: This StatQuest assumes that you are already familiar with... The main ideas behind neural netwo
From playlist StatQuest
cross entropy (deep dive equation and intuitive understanding)
deep dive cross entropy equation and intuitively understand what it is, and why we use it for classification cost function. all machine learning youtube videos from me, https://www.youtube.com/playlist?list=PLVNY1HnUlO26x597OgAN8TCgGTiE-38D6
From playlist Machine Learning
PyTorch Tutorial 11 - Softmax and Cross Entropy
New Tutorial series about Deep Learning with PyTorch! ⭐ Check out Tabnine, the FREE AI-powered code completion tool I use to help me code faster: https://www.tabnine.com/?utm_source=youtube.com&utm_campaign=PythonEngineer * In this part we learn about the softmax function and the cross en
From playlist PyTorch Tutorials - Complete Beginner Course
Supervised Contrastive Learning
The cross-entropy loss has been the default in deep learning for the last few years for supervised learning. This paper proposes a new loss, the supervised contrastive loss, and uses it to pre-train the network in a supervised fashion. The resulting model, when fine-tuned to ImageNet, achi
From playlist General Machine Learning
How you can use Perplexity to see how good a Language Model is [Lecture]
This is a single lecture from a course. If you you like the material and want more context (e.g., the lectures that came before), check out the whole course: https://boydgraber.org/teaching/CMSC_723/ (Including homeworks and reading.) Music: https://soundcloud.com/alvin-grissom-ii/review
From playlist Computational Linguistics I
KL Divergence (쿨백 라이블러 발산, 상대 엔트로피)
KL Divergence를 이해해봅니다. 기본 및 원리, 그리고 주요 특징을 다뤄보았습니다. 제가 만든 모든 머신러닝 관련 영상은 아래 재생목록에서 쉽게 찾으실 수 있습니다. https://www.youtube.com/playlist?list=PLVNY1HnUlO241gILgQloWAs0xrrkqQfKe
From playlist 머신러닝
Hofer's Geometry and Braid Stability - Marcelo Alves
Joint IAS/Princeton/Montreal/Paris/Tel-Aviv Symplectic Geometry Zoominar Topic: Hofer's Geometry and Braid Stability Speakere: Marcelo Alves Affiliation: University of Antwerp Date: December 16, 2022 The Hofer’s metric dH is a remarkable bi-invariant metric on the group of Hamiltonian di
From playlist Mathematics
Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 17-erm for probabilistic classif.
Professor Sanjay Lall Electrical Engineering To follow along with the course schedule and syllabus, visit: http://ee104.stanford.edu To view all online courses and programs offered by Stanford, visit: https://online.stanford.edu/
From playlist Stanford EE104: Introduction to Machine Learning Full Course
Local quenches and quantum chaos from higher spin perturbations by Surbhi Khetrapal
Bangalore Area Strings Meeting - 2017 TIME : 31 July 2017 to 02 August 2017 VENUE:Madhava Lecture Hall, ICTS Bangalore Bengaluru now has a large group of string theorists, with 9 faculty members in the area, between ICTS and IISc. This is apart from a large group of postdocs and graduate
From playlist Bangalore Area Strings Meeting - 2017