MIT Introduction to Deep Learning 6.S191: Lecture 1
*New 2024 Edition*
Foundations of Deep Learning
Lecturer: Alexander Amini

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

Lecture Outline
0:00​ - Introduction
7:25​ - Course information
13:37​ - Why deep learning?
17:20​ - The perceptron
24:30​ - Perceptron example
31;16​ - From perceptrons to neural networks
37:51​ - Applying neural networks
41:12​ - Loss functions
44:22​ - Training and gradient descent
49:52​ - Backpropagation
54:57​ - Setting the learning rate
58:54​ - Batched gradient descent
1:02:28​ - Regularization: dropout and early stopping
1:08:47 - Summary

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✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
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Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
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✅ Program Induction
✅ Programming Fundamentals
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning with TensorFlow (IBM)
✅ Deep Learning Specialization
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NASA have made a wheel capable of withstanding tough Martian terrain, but just how indestructible is it? Head to https://hensonshaving.com/veritasium and enter code 'Veritasium' for 100 free blades with the purchase of a razor. Make sure to add both the razor and the blades to your cart for the code to take effect.

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A huge thanks to everyone at NASA Glenn Research Center for having us at the SLOPE Lab, showing their work on this indestructible tire, and helping with the science and animation.
A huge thanks to everyone at Smart Tire Co for showing us around their facility, teaching us about nitinol, and letting us flatten their tires.

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References:

Steel Rod Footage - https://ve42.co/SteelRod

H. Föll. 8.4.1 - Martensite. University of Kiel, Faculty of Engineering - https://ve42.co/Foell

Bhattacharya, K. (1998). Theory of martensitic microstructure and the shape-memory effect - https://ve42.co/Bhattacharya1998

Bhattacharya, K. (2003). Microstructure of martensite: why it forms and how it gives rise to the shape-memory effect (Vol. 2). Oxford University Press. - https://ve42.co/MartensiteBook

Shaw, J. A. (2008). Tips and tricks for characterizing shape memory alloy wire: part 1—differential scanning calorimetry and basic phenomena. Experimental Techniques - https://ve42.co/Shaw2008

Buehler, W. J., Gilfrich, J. V., & Wiley, R. C. (1963). Effect of low‐temperature phase changes on the mechanical properties of alloys near composition TiNi. Journal of applied physics, 34(5), 1475-1477.

Kauffman, G. B., & Mayo, I. (1997). The story of nitinol: the serendipitous discovery of the memory metal and its applications. The chemical educator, 2, 1-21. - https://ve42.co/Kauffman1997

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Written by Derek Muller, Katie Barnshaw, & Emily Zhang
Edited by Trenton Oliver
Animated by Mike Radjabov & Ivy Tello
Coordinated by Emily Zhang
Filmed by Derek Muller, Emily Zhang & Raquel Nuno
Additional video/photos supplied by Getty Images & Pond5
Music from Epidemic Sound
Produced by Derek Muller, Petr Lebedev, & Emily Zhang
Thumbnail by Ignat Berbeci

People claim that 70-80% of household dust is dead skin, but is it true?
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Special thanks to J.M.E.H van Bronswijk, author of 'House Dust Biology'. We exchanged emails to make sure I got my facts straight for this video. Below is an excerpt from her email to me, responding to my claims that start with a dash:

- Around half of airborne dust particles under 100um are skin scales
This is true for climates, regions and seasons where people live mostly indoors.
The 1 to 2 g of skin scales shed each 24 hours will end up in places where people are present (and rub their skin or have textile moving over the skin).
You can also look at it from a different angle: What else has the same size and could contribute? That will usually be pollen from outdoor sources, also depending on season, region and climate, as well as the ventilation regime of the building.
However, taken as the median value over a whole year, I consider your statement correct for regions with a temperate climate.

- 53% of dust particles vacuumed from a mattress were found to be skin scales
It depends a little on the type of mattress. For polyether mattresses the amount may even be larger.
For mattresses made of natural material it could be less since the mattress-material will also give off small particles.

- larger particles consist mostly of fibers, eg. cotton, paper, wool, synthetics
That's true .. including bread crumbs ..... 🙂

- skin scales seem to form a larger fraction of dust where we spend more time, e.g. in or near bed.
..... and on the couch used to view television or be active in gaming.
It has to do with the constant production of skin scales over the 24 hours.

- skin scales form a smaller fraction of dust if there are significant other sources, e.g. carpeting, dirt from outside etc.
Yes, everyting you walk on with your shoes or that recieves dirt from the outside with other means, will have a lessr percentage of human skin scales.
However, do not forget the skin scales of pets that will also be an active allergen for many people, and a food source for house dust mites.

Information on dust particle size ©ISO. This material is adapted from ISO 7708:1995, with permission of the American National Standards Institute (ANSI) on behalf of the International Organization for Standardization. All rights reserved.

Research and Writing by AJ Fillo and Derek Muller
Editing, Audio Mix & Master, and Computer animations by Jonny Hyman
Dust and character animation by Ivy Tello
Filming by Raquel Nuno
Thumbnail by Fictionalhead https://www.youtube.com/fictionalhead

Intro Music composed by Jonny Hyman
Additional Music from Epidemic Sound: Colored Spirals, Observations

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После аварии на Фукусиме в 2011 году новости заполонило слово «радиация». Тогда-то Дерек Маллер и решил раз и навсегда прояснить, что именно считают опасным после взрывов на атомных станциях.

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Around 70% of the companies say it is analytics that help them in making business decisions and they also believe they can only analyze mere 12% of the data they have. So this sas tutorial will help you in understanding how to work with data. We are offering the top sas tutorial that can be watched by anybody to learn sas. Our sas tutorial has been created with extensive inputs from the industry so that you can learn sas easily.

Who should watch this sas training tutorial?

If you want to learn sas to become fully proficient and expert in analyzing data then this Intellipaat explanation on sas is for you. This Intellipaat sas tutorial is your first step to learn sas. Since this sas video can be taken by anybody, so if you are a BI professionals, Software developers and architects, Project managers,ETL, SQL, data warehouse and analytics professionals and graduates wanting to enter in Big Data analytics domain then you can also watch this sas tutorial for beginners to take your skills to the next level.

Why sas is important?

It's a powerful analytics tool that is used by enterprises to improve their business performance and analyze data. This SAS training video will provide you with all the right skills to work with spreadsheets, huge sized databases and techniques for debugging.

Why should you opt for a sas career?

Learning sas will help you master all the skills needed in order to analyze huge data in the organization. You will grab the best jobs in top MNCs after finishing Intellipaat sas online training. The entire Intellipaat sas course is in line with the industry needs.There is a huge demand for sas certified professional. The salaries for sas professional are very good. Hence this Intellipaat sas tutorial is your stepping stone to a successful career!
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For more Information:
Please write us to [email protected], or call us at: +91- 7847955955

Website: https://intellipaat.com/sas-training/

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🔥PROMPT ENGINEERING WITH GENERATIVE AI: https://www.edureka.co/prompt-....engineering-generati
Explore the field of artificial intelligence through our Generative AI Tutorial. This video will break down the intricate workings of the generative AI model and give you useful information and pointers for utilizing generative AI in your projects, covering everything from the fundamentals of the technology to its applications, frameworks, and changing the landscape of industries. This course is a crucial place to start, whether you're a professional looking to implement AI-driven solutions or a newcomer excited to learn about AI's creative potential.

✅ 00:00 - Generative AI Tutorial
✅ 02:10 - Introduction to AI
✅ 02:48 - Working of AI
✅ 03:45 - What is Generative AI
✅ 05:00 - AI Prompt Writing
✅ 06:35 - Text-to-Text Generative AI
✅ 07:42 - Prompt Writing Rules
✅ 08:47 - ChatGPT-3.5
✅ 09:15 - ChatGPT-4
✅ 11:24 - Google Gemini
✅ 12:22 - Text-to-Image Generative AI
✅ 13:41 - DezGo
✅ 13:50- Hands-On Tutorial

✅ Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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

What is Prompt Engineering?

Prompt engineering involves optimizing artificial intelligence engineering for multiple purposes. It includes refining large language models (LLMs) using specific prompts and recommended outputs. Additionally, it focuses on enhancing input to different generative AI services to make text or images. With advancements in generative AI tools, prompt engineering becomes crucial for generating diverse content, such as robotic process automation bots, 3D assets, scripts, robot instructions, and various digital artifacts.
- - - - - - - - - - - - - -

What kinds of jobs can you get with Prompt Engineering skills?‎

Here are some potential job roles:

Machine Learning Engineer
Data Scientist
Natural Language Processing (NLP) Engineer
AI Research Scientist
Software Engineer (AI/ML)
Data Engineer
Content Generation Specialist
Conversational AI Developer
AI Product Manager
AI Ethicist

Remember that the job market and the demand for specific skills can change over time, so staying updated on industry trends and job postings is essential.

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

Who are the instructors for Prompt Engineering Course?

All the instructors at edureka are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants.

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free).

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/machine-lea (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This "Top 10 Applications of Machine Learning in 2021" video will give you an idea of how vast the machine learning is and how commonly you are using it in your day to day life.
Topics Covered:
00:00 Introduction
00:37 Google Map
02:02 Facebook
03:58 Uber/Uber Eats
05:12 Amazon
06:16 iPhone
07:51 Tesla
09:48 Netflix
10:25 Moley
11:38 Google Translate
12:42 Kuka
📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝

-------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧---------

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--------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬--------
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⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S
⏩𝐓𝐨𝐩 𝟏𝟎 𝐇𝐢𝐠𝐡𝐞𝐬𝐭 𝐏𝐚𝐲𝐢𝐧𝐠 𝐉𝐨𝐛𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3HcpPG6
⏩𝐓𝐨𝐩 𝟏𝟎 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3FW6F69
⏩𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3gH57mr

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
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About the Machine Learning with Python Training
Edureka’s Machine Learning Certification Training using Python is designed to make you grab the concepts of Machine Learning. This Machine Learning Certification will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in the python programming language. Furthermore, in this Machine Learning with Python Training, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of this Machine Learning online course, we will be discussing various practical use cases of Machine Learning with Python programming language to enhance your learning experience. Edureka offers the best Machine Learning Training online for those who want to be the best in Python. Enroll now with Edureka's online Machine Learning Certification to get trained with industrial experts.

What are the pre-requisites for this Machine Learning Certification Training ?
The pre-requisites for the Machine Learning Training include development experience with Python. Fundamentals of Data Analysis practiced over any of the data analysis tools like SAS/R will be a plus. However, Python would be more advantageous. You will be provided with complimentary “Python Statistics for Data Science Course” as a self-paced course once you enroll in the Machine Learning online course.

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In this video on Large Language Models Explainedwe will go through the basic understanding of what is large language model(LLM) in machine learning. In this machine learning video, we will cover topics like what is LLM, how large language model works, applications of large language models, and many more.
Below are the topics covered in this video:-
00:00 Large Language Models Explained
02:50 What are Large Language Models?
04:03 What are Large Language models used for?
04:27 How LLM trained
07:12 Applications of Large Language Models

🔵What are the large language models?
Large language models, such as GPT-3 (Generative Pre-trained Transformer 3), are advanced artificial intelligence systems designed to understand and generate human-like text. These models are built using deep learning techniques and have been trained on vast amounts of text data from the internet.

🔵What are large language models used for?

Large language models are utilized in scenarios where there is limited or no domain-specific data available for training. These scenarios include both few-shot and zero-shot learning approaches, which rely on the model's strong inductive bias and its capability to derive meaningful representations from a small amount of data or even no data at all.

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➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

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- Generative AI
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- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…

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In this Automate WhatsApp With ChatGPT Tutorial, we will ask ChatGPT to provide code to send messages to our contacts. This ChatGPT on WhatsApp tutorial, will start with executing the code provided by ChatGPT using pywhatkit library. Using pywhatkit library, we can schedule the delivery of messages to particular chats.

Here we start with:
00:00 Introduction to Automate WhatsApp With ChatGPT
00:36 Quiz Question
01:17 Create folder for Python Project
02:22 Ask ChatGPT to write code
04:09 Install and Import libraries
05:41 Edit the code given by ChatGPT
14:06 Sending the automate message

✅PyWhatKit is a Python library with various helpful features. It's easy-to-use and does not require you to do any additional setup. Currently, it is one of the most popular library for WhatsApp and YouTube automation. New updates are released frequently with new features and bug fixes.

✅PyWhatKit is available on PyPi: To install use the command pip3 install pywhatkit

✅Features of PyWhatKit
Sending Message to a WhatsApp Group or Contact
Sending Image to a WhatsApp Group or Contact
Converting an Image to ASCII Art
Converting a String to Handwriting
Playing YouTube Videos
Sending Mails with HTML Code
Install and Use

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➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
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- Neural Networks
- Computer Vision
- And Many More…

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Learn the fundamentals of generative artificial intelligence in this beginner-friendly course (2025 edition). We’ll cover what generative AI is, how it differs from traditional AI, key architectures (GANs, VAEs, Transformers), hands-on examples, prompt engineering, and real-world applications you can build today. No prior AI or deep-learning experience required.
✅ What you’ll learn:
What is generative AI & why it matters in 2026
Core models: GAN (Generative Adversarial Network), VAE (Variational Autoencoder)
Transformer architecture and large language models (LLMs)
Text-, image-, and audio-generation use cases
Basics of prompt-engineering and building your own simple GenAI app
Ethical, bias, and safety considerations for generative systems

00:00:00 Introduction
00:01:59 What is Generative AI?
00:15:27 Generative AI Examples
00:34:06 Generative AI Tools
00:55:31 Generative AI in Marketing
01:05:20 Exploring the Ethics of Generative AI
01:12:49 What is Deep Learning
01:24:03 Generate Images Using DC-GAN
01:48:36 Midjourney
02:06:58 What are Large Language Models?
02:26:42 LLM vs SLM
02:31:42 What Is Multimodal AI?
02:48:07 What is LangChain?
03:05:22 What is RAG?
03:28:14 LLMOps: The Future of AI Development
03:34:13 Prompt Engineering For Code Generation
03:43:32 Building a Chatbot with Prompt Engineering
03:59:03 OpenAI API using Python
04:07:18 Agentic AI vs Generative AI
04:25:18 DeepSeek vs OpenAI: Who Wins the AI Race?
04:37:51 Alibaba’s Qwen 2.5-Max Just Beat GPT-4 & DeepSeek?
04:42:14 Nvidia's Latest Breakthrough in Generative AI
04:48:52 The Future of Generative AI and Job Opportunities
04:54:36 GenAI Roadmap
05:03:21 Generative AI Interview Questions


📌 By the end of this course you’ll be equipped to explore your own generative-AI experiments and skill up for deeper tools.

🔔 If you enjoyed this video, Subscribe & hit the bell icon so you won’t miss further AI-tutorials in 2026. Leave a comment if you have questions or want to see a project walkthrough.

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🔵 Following topics are covered in this Data Analytics Course
00:00:00 - Introduction
00:03:19 - What is Data Analytics?
00:08:12 - Introduction to Python
00:21:17 - Basics of Python
00:53:59 - Global Variable in Python
03:02:22 - Introduction to Statistics
03:14:21 - Types of Data
03:20:16 - The Central Tendencies
03:26:46 - Variability and Spread
03:27:55 - Implementation in R
03:34:46 - Probability
03:37:26 - Probability Terminology
03:45:02 - Probability Distribution
03:46:51 - Covariance and Correlation
03:57:37 - Hypothesis Testing
04:01:30 - Decision Error
04:25:58 - Types of Rescaling
04:32:18 - Introduction to SQL
04:52:23 - What is NoSQL?
05:04:01 - What is DBMS and RDBMS?
05:17:09 - SQL Server Fundamentals
05:46:29 - What Are Data Types?
07:14:45 - Data Manipulation Language (DML)
07:46:16 - Power BI
08:26:30 - Primary Key and Foreign Key Relationship
09:25:35 - Direct Query Mode
10:06:32 - Data Transformation and Modeling Power BI
10:21:01 - Data Visualization with Power BI Service
11:15:43 - Data Analytics Interview Questions

✅What is a data analytics course?
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Intro 00:00
1. Why is Digital Marketing important? 00:18
2. What is Digital Marketing? 06:25
3. Types of Digital Marketing 07:58
4. Customer lifecycle in Digital Marketing 19:50

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