MIT Introduction to Deep Learning 6.S191: Lecture 2
Recurrent Neural Networks
Lecturer: Ava Amini
2023 Edition

For all lectures, slides, and lab materials: http://introtodeeplearning.com

Lecture Outline
0:00​ - Introduction
3:07​ - Sequence modeling
5:09​ - Neurons with recurrence
12:05 - Recurrent neural networks
13:47 - RNN intuition
15:03​ - Unfolding RNNs
18:57 - RNNs from scratch
21:50 - Design criteria for sequential modeling
23:45 - Word prediction example
29:57​ - Backpropagation through time
32:25 - Gradient issues
37:03​ - Long short term memory (LSTM)
39:50​ - RNN applications
44:50 - Attention fundamentals
48:10 - Intuition of attention
50:30 - Attention and search relationship
52:40 - Learning attention with neural networks
58:16 - Scaling attention and applications
1:02:02 - Summary
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Jure Leskovec
Computer Science, PhD

Having defined a GNN layer, the next design step is how to stack GNN layers together. To motivate different ways of stacking GNN layers, we first introduce the issue of over-smoothing that prevents GNNs learning meaningful node embeddings. We learn 2 lessons from the problem of over-smoothing: (1) We should be cautious when adding GNN layers; (2) we can add skip connections in GNNs to alleviate the over-smoothing problem. When the number of GNN layers is small, we can enhance the expressiveness of GNN by creating multi-layer message / aggregation computation, or adding pre-processing / post-processing layers in the GNN.

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How to Summarize a Book or a PDF file with GPT-3 and Python

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In today's video, we're going to be showing you how to use GPT-3 to easily summarize a book or paper in PDF form.

Let's face it, sometimes we don't have the time to read a 200 page, 73,000 word document from start to finish. But with GPT-3, you can quickly and easily extract the most important information and summarize it into just 230 words.

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In this video, we'll be using the book "Deep Work" by Cal Newport as an example. This book is 190 pages and 73,000 words, so it can be a daunting task to get through it all.

But with the help of GPT-3 and a Python script with the OpenAI API, we'll show you how to automate the process and make summarizing a breeze.
So if you're ready to learn how to use GPT-3 to summarize a book, let's get started!

00:00 Intro Summarize a book or pdf with GPT-3
00:17 Summarizing with GPT-3 and Python Script
04:21 Deep Work Summary with Midjourney V4

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What are Fine-tuning and Embeddings in GPT-3 and how are they useful?
Explained and demonstrated here in 5 minutes in plain, simple English.

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This Edureka "Neural Network Tutorial" video (Blog: https://goo.gl/4zxMfU) will help you to understand the basics of Neural Networks and how to use it for deep learning. It explains Single layer and Multi layer Perceptron in detail.

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01:00 Why Neural Networks
02:24 Motivation Behind Neural Networks
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13:42 Activation Functions
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20:51 Training a Neural Network
24:36 Hands On

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- - - - - - - - - - - - - -

About the Course

Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow.

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TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.

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(2:10:44) Middleware in Nextjs
(2:52:22) User verification with email
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐞𝐚𝐜𝐭 𝐉𝐒 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/reactjs....-redux-certification (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka video on What Is React will help you in understanding the fundamentals of ReactJS and help you in building a strong foundation in React.
00:00:00 Introduction
00:00:33 Agenda
00:00:58 JavaScript
00:02:15 Advantage of JavaScript Framework
00:04:45 JavaScript Framework
00:08:37 Why Reacts?
00:09:55 DOM Manipulation
00:11:25 What is ReactJS?
00:15:26 Virtual DOM
00:17:28 ReactJS Application

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐑𝐞𝐚𝐜𝐭 𝐉𝐒 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/reactjs....-redux-certification Use code (𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
In this Edureka video on "How to Learn React JS", you will learn everything about React js Roadmap. We have covered ReactJS basic to advanced Concepts that you need to know so this video will be helpful to a beginner. Below are the topics covered in this How to Learn React JS video:
00:00:00 Introduction
00:01:00 Agenda
00:01:45 Introduction to React JS
00:02:38 Prerequisites
00:03:30 React.js Concepts
00:05:04 React.js Roadmap
00:08:00 Project Ideas

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐒𝐞𝐥𝐞𝐧𝐢𝐮𝐦 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/seleniu....m-certification-trai
This Edureka "WebDriver Architecture in Selenium" video will give you an introduction to the Architecture of Webdriver in Selenium. This video will give you an exhaustive knowledge of the fundamentals of Selenium Suite and Selenium Tools, and teach how to use Selenium with its various tools.

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This video on "What is Trojan" by Simplilearn will take you through the most famous and notorious threat computer world known as the Trojan Horse Virus in cybersecurity. In this video, we'll take you through what a Trojan in cybersecurity is and how it makes its way to a user's computer. In addition, we'll also let you know about the security measures you can take to prevent your system from Trojans. Below are the topics we are covering in this video.
00:00 What Is Trojan?
00:40 Introduction to Trojan
01:12 Types Of Trojans
02:13 How Trojans Spread?
04:12 Tips To Avoid Trojan


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In this KNIME tutorial for beginners, you will learn the basics of KNIME, a powerful open-source data analytics tool that can help you perform data analysis, data visualization, and data mining tasks.

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Выпускники школ в США сдают SAT — стандартизированный тест, результаты которого учитываются при поступлении в ВУЗ, что-то вроде знакомого всем ЕГЭ. В 1982 в одну из задач по математике закрался любопытный парадокс, который составители теста проглядели, из-за чего все предложенные варианты ответа оказались неверными. Чтобы разобраться, как же всё-таки правильно решать подобные задачи, Дерек Маллер с канала Veritasium связался с одним из выпускников того года, который разглядел ошибку в тесте, и, как ни странно, после школы стал математиком.

Перевод: Егор Афонин
Редактура: Елена Смотрова
Научная редактура: Макар Светлый, Игорь Тирский
Озвучка: Дмитрий Чепусов, Юрий Катарманов
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider и https://boosty.to/vertdider

Озвучки Vert Dider выходят с вашей помощью:

Pavel Dunaev, Mikhail Stolpovskiy, Sergey Zhukov, Katoto Chan, Все будет хорошо, Anatoly Zapadinsky, Anton Bolotov, Pavel Parpura, Мikhail Samin, Vitaliy Vachynyuk, opperatius, Eugene Tsaplin, Oleg Zingilevskiy, Mykola Korniichuk, Kirill Zaslavskii, Victor Cazacov, Valeriy Dubrava, Aleksei Shabalin, Ihar Marozau, Irina Shakhverdova, Victoria Kleban, VEG, Morock_D, mifon bejenari, Vladimir Sharich, Leonid Steinberg, Maxim Korotkov, Alex Kulakov, Alexander Goida, Anna Ostrovskaya, Dmitry Chechulin, Lexx, Nikrodol, Rashn, Виктор Харламов, Постный Оладий, Alexander Kulikov, Alien, Artem Piskarev, Artem Sobolenkov, Being of Whiteout, Cyril Anonimov, Kirill Markov, Maxim Titov, SodayaSodochka, Timophey Popov, andruche, asdadasa, darthmorf s, dv0, pervprog, Арс Ник, Артем Сиваченко, Глеб Кочергин, Дмитрий Казанов, Кожаный Гусь, Никита Омельницкий, Тимур Абдуллин, Тот самый Виктор.

#vertdider #veritasium

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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/@veritasium
Источник: https://www.youtube.com/watch?v=FUHkTs-Ipfg&t=3s

Помощь проекту: https://vertdider.tv/to-support-us/

Картонка и рисунок — вот и всё, что нужно, чтобы запутать такой тонкий инструмент обработки информации, как наш мозг. В новом видео Дерек расскажет об оптической иллюзии, известной как «Окно Эймса» и объяснит, как окружающая обстановка заставляет нас видеть не то, что происходит, и расскажет, что ещё влияет на визуальное восприятие. Кстати, возможно, несколько первых месяцев жизни вы видели мир немножко больше таким, какой он есть.

Перевод: Алексей Малов
Редактура: Елена Смотрова
Озвучка: Дмитрий Чепусов
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider
Озвучки Vert Dider выходят с вашей помощью:

Pavel Dunaev, Nick Denizhenko, Oleksii, Yegor Barakovskiy, , mrwiseguy351, Ігор Дорохов, Mikhail Stolpovskiy, Roman Inflianskas, Vladimir Dementyev, Aleksandr, Maxim Syunikov, Oleg Zingilevskiy, Serega Beltser, Rashid Nasibulin, opperatius, Dina Kruchina, Alena, Vitaliy Vachynyuk, Ника Калмыкова, Роман Чурин, Aiorraro, Евгений Сельменев, Alex Afalex, Sergii Cherepanov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Михаил Панькин, Anton Makiievskyi, Максим 'Sheridan' Горлов, Katoto Chan, Marat Bakirov, Ирина Завтонова, Anastasia, Andrew Rumak, 4k, Andrey Istomin, Марина Малинкина, Dmitry Khlan, Галина Баринова, Yaroslav Kyrylchuk, Познающий, Ирина Анатольевна Чулкова, kotov.p, Pavel Golovin, Stanislav K, Edward Ben Rafael, Юрий Медведев, Анна Троссман, Serj Skidan, Andrei Chitaev, L Marchenko, Nadia Kilgishova, Sultan Ishankulov, Mike Sviblov, Andrey Rusanov, Inna Klymenko, Dima Chumakov, Dmitriy Lashtaba, Olesya Bolobova, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Ольга Канкулова, Alexander, Viktor Lova, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Евгений Миф, Виталий Пастушенко, Serj Kravchuk, Claudia Barzaeva, Pandaben, Monza UA, Lirin Alex, Pavel D, Dan Sotnikov, Konstantin Pesyakov, Denis Titusov, Viktoria, Alexandr Globov, Olga Podolskaya, Alexey Kukushkin, F23D24, Пугачёв Пётр, Olga Shistareva, Kamerton_440, Alex Katkov, Irina Shakhverdova, Vladimir Grachev, Dmitriy Omelyansky, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Anton Novozhenin, Spartak Kagramanyan, Александр Фалалеев, Evgeny Vrublevsky


Сайт студии: http://vertdider.tv

Мы в социальных сетях:
— http://vk.com/studio_vd
— https://t.me/vertdider
— https://twitter.com/Vert_Dider
— http://coub.com/vertdider

Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/user/1veritasium
Источник: https://youtu.be/dBap_Lp-0oc

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