Deep Learning Course for Beginners
ฝัง
- เผยแพร่เมื่อ 5 พ.ค. 2024
- This deep learning course is designed to take you from beginner to proficient in deep learning. You will learn the fundamental concepts, architectures, and applications of deep learning in a clear and practical way. So get ready to build, train, and deploy models that can tackle real-world problems across various industries.
Course created by @AyushSinghSh
GitHub: github.com/ayush714/core-deep...
⭐️ Contents ⭐️
0:00:00 Intro
0:03:07 Getting started
0:05:07 Vectors
0:21:51 Operation on vectors
0:38:52 Matrices
0:52:02 Operation on Matrices
0:52:27 Matrix Scalar Multiplication
0:55:47 Addition of Matrices
0:59:27 Properties of Matrix addition
1:03:07 Matrix Multiplication
1:08:02 Properties of Matrix Multiplication
1:18:32 Linear Combination Concept
1:36:20 Span
1:50:57 Linear Transformation
2:05:30 Transpose
2:14:02 Properties of Transpose
2:19:52 Dot Product
2:25:22 Geometric Meaning of Dot Product
2:34:32 Types of Matrices
3:04:22 Determinant
3:11:17 Geometric Meaning of Determinant
3:15:42 Calculating Determinant
3:23:37 Properties of Determinant
3:27:22 Rule of Sarus
3:48:42 Minor
3:56:49 Cofactor of a Matrix
4:00:42 Steps to calculate Cofactor of a Matrix
4:03:17 Adjoint of a Matrix
4:18:47 Trace of a Matrix
4:17:22 Properties of Trace
4:38:17 System of Equations
5:03:07 Example
5:17:42 Determinant
5:57:47 Single Variable Calculus
6:02:48 What is Calculus?
6:11:07 Ideas in Calculus
6:11:33 Differentiation
6:18:38 Integration
6:22:07 Precalculus Functions
6:43:52 Single Variable Calculus (Trigonometry Review)
6:45:02 Trigonometry functions
7:12:02 Unit Circle
7:24:32 Limit Concept
7:51:47 Definition of a limit
7:53:27 Continuity
8:00:17 Evaluating Limits
8:17:12 Sandwich Theorem
8:21:12 Differentiation
8:45:42 Differentiation as rate of Change
8:52:37 Differentiation in terms of Limit
9:04:51 Example
9:09:54 Important Differentiation Rules
9:53:12 Rule Chain Rule
10:17:27 What is Deep Learning
10:18:27 What is Machine Learning
10:36:37 Definition of Deep Learning
10:43:07 Applications
10:47:19 Introduction to Neural Networks
10:51:17 Artificial Neural Networks
11:08:31 The Perceptron
11:19:57 Linear Neural Network
11:21:32 Intuition Behind Activation function and Backpropagation Algorithm
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Hope you guys enjoy the course, checkout Github for resources :) People "might" think it's too much maths/core, where people forget that maths is not prerequisite of ML & DL - it's literally the core, so spend most of your time in it :) you will be fine!
look forward to this!
Bro really great to see you here
Im not gonna be listening to indian accent for 13h. Thank u for ur effort tho. Not trynna be rude
@@rashmikathathsara3244 Just because you're not trying to be rude doesn't mean you aren't.
Please bro, talking in your real accent is not a shame. saying the same word 3 times makes it even more irritating. But I will surely watch to improve my knowledge
Should've called it linear algebra and calculus for machine learning coz out 13 hrs 10 hrs straight its just that only. U can't cover deep learning in the remaining time. Still the curriculum looks good for linear algebra and calculus for machine learning and deep learning so I'll definitely follow it. If it also had statistics and probability it would've been awesome.
Yea but technically you can skip it because it is being taught in grade 11th and 12th.
I remember thiss dude made an ml course when he was like 13. Cant wait to complete this
Wow
He is indian coding prodigy
@@jaymahakaal5354 ha bhai malum hai, ayush nam se hi samaj raha hai
This is a very good introduction to Maths behind Machine Learning. Anwyays Thanks.
Finally witnessing the 13 hours+ course that I know it all. Sometimes it feels good to be acknowledged :)
Bro taught us entire 12th grade math in one video 💀
10 hours of maths + 1.5 hours of intro to Neural Networks
I guess the thumbnail is misleading
Awesome! Thank you!
Heartful Thank you 🙏🏻❤️🔥
We love you FCC and you Ayush.. thank very much for all you guys do.. we love and appreciate it all ✨🤝🏾
An educational channel of this size should add dubbing to the list
You are welcome!
I don't think the underlying linear algebra is the most appealing to the public. Math is super important if you care about Kernel engineering and PyTorch CUDA extensions but that's about it (neural net architectures too). A general deep learning lingo course is what people expect when they see "Deep Learning for beginners". Good job though, glad this is all in one place :)
Awesome!
This course is called Matrix Algebra in undergraduate applied mathematics level
Thx for sharing, just a quick comment regarding the background noice.
Thank you! I just love you guys!
Excellent!
Resume @21:21
I have been note taking, and i would love to use practice questions to put it to use, is there any URL that have practice questions to these lectures? I would love to practice]
thanks
10:16:40 To skip linear algebra and go to deep learning...
So are you saying if I'm good at math i can skip the first 10 hours,
Yaay happiest news i heard today, lol
Deep learning without programming in python is wild 🤯🤯
Vector have both magnitude and direction.
28:06 geometrically speaking wouldn't adding vectors like this(connection is tail to tail instead of head of one vector pointing to tail of other vector) using triangle method give the wrong direction?
Or can it be done as the direction isn't important in deep learning like in physics or something? 🤔
i think it just wrong
Why so few english speaking courses nowadays? Are there no specialists in this area who speaks English well? 😩
make separate courses for prerequisite math for DL and then DL lol
“We have clearance Clerence” “Roger, Roger” “What is our vector, Victor?”
I subbed, plz do an xml course 🙏🙏🙏🙏🙏
Vector are denoted by arrow
This wasnt really deep learning. It was linear algebra plus introductory machine learning
Ohh, you watched it all 😭
Yes.
You miiiiight learn to talk about it "Proficiently".
Thats not a bad thing.
But to understand visually, this will not give close enough examples.
Yeah there's no q learning, no policy gradient, nothing about agents and environments and rewards... It's just some linear algebra and the basic stuff you learn in a college ml course. Branding this as deep learning is wild.
@@vibranteye4369 can you point to other, better deep learning courses please? Thank you.
go 3 blue and 1 brown and welch labs for better information -- i will post this immediatly after the channel deletes it. this is the crux having it ppl in the room XD
*Essence of Linear Algebra* by 3blue1brown is much coherent and shorter. *Learning to See* by Welch Labs is an better introduction to ML
Want to be a judge?
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5. AI Code Clash: Super Agent Showdown
6. CodeCraft Combat: Super Agent Edition
7. Digital Duel: Super Agent AI Battle
8. Pixel Pioneers: LLM Super Agent Showdown
9. Byte Battle Royale: Super Agent AI Combat
10. AI Code Clash: Dueling Super Agents Edition
i appreciate what's put together here, but if people want a more practical course, fastai is the best place to learn, you honestly don't need this math
This ain't deep learning, he just taught Linear Algebra and Calculus
Can we get someone with the accent plz?
There is nothing wrong about his accent. Focus on what he explains instead.
title of the course is misleading you just explain maths related thing in straight 8 hours and remaining time just the intro to deep learning
I think I need subtitles for this one😅
Thats true
💎 Cognizant Technology Solutions (CTSH) 💎
17:15
Bro can you Stop repeating sentence, it makes it hard to understand
obviously a neuro scpicy bro needs to repeat bc reasons. whadayou think who is most active in the ml community dude XD
@@chrisrusecki6320 sorry Bro , didn't understood you well
Ok? ok... OKAY ? ookkk kk oKK OkAY ok ok ? okaY ! O.K.A.Y ? ooooooooooKKKKKKKKKKKKK !
lmao...... I can't stop laughing mann
Couldn't get past his pronunciation of "arr-rrrrrayyy" and "arrrr-oooooous".
I love my india 🇮🇳🇮🇳🇮🇳
Love 🎉ir
10 hr maths, 3 hr of ml lol
Be careful if this is your first introduction to these topics, the videos includes many mistakes
Who in their right mind would put a 14 hour course in one video where you can't even download the transcript. Fail.
Like if you not watched this video.
first to Watch
Yaay !!!
My god!!
Must needed subtitles...
His accent is not understanding
Indians people taking the world 🌎
Yeah, soon everyone gonna speak English with Indian accent
@@noitnettaattention hhh internal pointer variable 🤣🤣
complete time waste ...
Hindi me bolo kuch samajh me nhi aa raha kuch samajh me nhi aa raha
Bro yeh global audience ke liye hai channel
First
As a newbie in coding, I’m learning front-end-development, please did I need this course?
And to learn this course, what programming language is need?
You should not be learning this for now you should complete your front end then you can explore more about web development like backend system design and build project deep learning and development are different topics respectively
@@sachit8273 thanks 🙏🏾
Bro u could ve use Indian accent
What's the point in uploading these videos where we can't even understand the accent?
2:43
Put like if you are interested
Very Bad.....! Teaching 😢
Less math, more coding please 👌
Production is a little more important than theory.
absolutely, I agree.
The field is basically math, making math models
All top dogs in AI space are mathematicians
could you direct me to any such channels or playlists please?
You're aware a real CS curriculum consists of a ton of math, right?
@@gandalfthegrey2777 not exactly, the frameworks exists so that you don't have to create a CNN in C language in a note pad file and push that untested model into production.
I would recommend people to not follow this video. This too intimidating and certainly unnecessary. You can always come back to lesrn the math behind neural nets once you have created some by yourself.
The video literally starts at beginner, and it's 13 hours long, so there's no way you watched the whole thing when it was uploaded 30 minutes ago. It's intimidating for you. For others, it's fitting.
@@Khadi-CI don't have to watch the video. I can check the description for timestamps.
Don't assume that it's fitting for others. There is a reason why deep learning libraries are popular when in reality you can do everything in numpy. You don't know what you are talking about so I'll leave it at that.
Looks like a negative review by an ed tech company 😂😂
@akj3344 "I don't like this" =/= "It's bad for everybody".
oh god his accent is unbearable !
So much deep 😅
This video is 🐂 💩, I found CampusX's videos much better, the only issue is that's in Hindi.