PyTorch for Deep Learning u0026 Machine Learning

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Information PyTorch for Deep Learning u0026 Machine Learning – Full Course

Title	:	PyTorch for Deep Learning u0026 Machine Learning – Full Course
Lasting	:	25.37.26
Date of publication	:
Views	:	857 rb

9/28/2023 2:43:46
Comment from : David O

What’s heavier a kilogram of steel or a kilogram of feathers?
Comment from : Yash Shah

does this video has 2nd part , anyone who knows kindly reply ,or send the any link what to do next after it
Comment from : Sufiyan Mohammad

Rise and Grindbr25/09/23 brDay1 : 3:12:52brDay2 : 5:40:40brDay3 : 6:56:00brDay4 : 9:29:36
Comment from : Chaitanya

Thank you very much! where is the chapter for Transfer learning?
Comment from : Mr_Greenery

great Daniel I love your videos of pytorch and tensorflow
Comment from : Technical Surani

1) 20092023 - 1:35:34
Comment from : Erdem Berk Cihan

I am new to neural networks and deep learning I know machine learning algorithms and using them to predict and forecast the values I have null knowledge on Neural networks, Can I watch this tutorial?
Comment from : Panchakarla Venkat Sai Subash

Planning to complete in a week if possiblebrDay1: 4:17:42
Comment from : AfTeReFfEcT

4:56:00
Comment from : John Angel Herrera Salazar

i will complete this within a weekbrDay 1 54:54brDay 2 2:59:31brDay 3 4:17:27brDay 4 5:30:05brDay 5 7:47:45brDay 6 9:05:14brDay 7 10:54:57brDay 8 14:00:58brDay 9 15:48:05brDay 10 17:13:45
Comment from : Naga Mahesh G

18-09-23 2:12:00br20-09-23 3:02:00br21-09-23 4:00:00br22-09-23 4:30:00br23-09-23 5:03:00
Comment from : Pratyush 🤠

pytorch exercises @1:07:15, asking a question @1:10:06
Comment from : First Last

i've finished this course twice and i highly recommend this!!!
Comment from : Net For Fun

thx 4 vid !
Comment from : Bektur Asanbekov

I plan to do it within two weeksbr11 Sept 2023 : 36:55br13 Sept 2023: 1:45:52br14 Sept 2023: 2:15:20
Comment from : Heizou

can we proceed further with no gpu it does affect overall processing
Comment from : 8045 Kartikeya

So clear! Loved it! From brazil
Comment from : rraul

Bookmark:
Comment from : Linda Zou

heads off to you man, i adore ur hardwork , passion everything , thnku so much
Comment from : Harshita Rajoria

Steve Jobs is back?
Comment from : VisionAugment

Great Work !!! I love how you teach This is superb
Comment from : ASHOK CHHETRI

Thank you so much for such a great tutorial Finally completed the whole tutorial
Comment from : Shadab Alam

Thanks for this great contribution!!!!!
Comment from : Guillermo Siaira

2023-08-28 0:57:52
Comment from : Right Up My Alley

Started today
Comment from : Debanjana Ghosh

Hey, i like your song : At time 6:23:49 brbr62349
Comment from : Ashish Waykar

I'm planning to learn the course within 4 weeksbr2023-08-26: 1:22:08 13 Introduction to tensorsbr2023-08-27: 2:17:50 20 Matrix multiplicationbr2023-08-28: 3:11:31 26 Squeezing, unsqueezing and permutingbr2023-08-29: 4:17:27 33 Introduction to PyTorch Workflowbr
Comment from : joseph_wang

osam
Comment from : Bafu Academy

What font are you using? (At the beginning, if it changes later)
Comment from : krupt

Lets go im gonna finish this course!br25/8-1:54:01br28/8-3:59:11br7/9-6:21:09
Comment from : monster miner

Free Code Camp courses are better than paid courses This one is next on my list I studied neural networks 20 years ago and I struggled with it as I'm not naturally good with maths But playing with pytorche i see how much more accessible this tech is now
Comment from : Ekaj

Day 1: 43:21brDay 2: 1:22:30brDay 3: 2:04:07brDay 4: 2:54:48brDay 5: 3:09:09brDay 6: 3:27:33brDay 7: 3:42:29brDay 8: 4:38:09brDay 9: 5:30:00brDay 10: 6:40:00brDay 11: 8:31:58brDay 12: 8:57:27
Comment from : David B

13:53:05 The Precision-Recall Tradeoff: “If you increase precision, you lower recall And inversely, if you INCREASE precision, you lower recall”😂😂😂😂😂😂😂😂
Comment from : Bob

20:14:00
Comment from : MaxMichendorf

An excellent introduction to PyTorch! Will recommend this to others
Comment from : David Harket

Love you Daniel! You’re super informative super knowledgeable and very humours!
Comment from : Bob

Great learning path Congrats to the the teacher!
Comment from : Vincent CIBELLI

In the first tensor example with the matrix 3x3 I guess it had an extra [] :)
Comment from : Floripa Bengals

Does ML engineer need to use leetcode for preparing the interview?
Comment from : Jeff James

2:03:33
Comment from : sapdlo

5:25:37 i've witnessed the miracle
Comment from : I Am Lucky Man

2:35:00
Comment from : za za

Thanks for this course, it is really amazing I might be missing something, however at 19:12:00 the X variable returns a value of [16,1,28,28] as opposed to [32,1,28,28] since the testloader has a batch size of 32 I don't seem to understand this
Comment from : BOLURO-AJAYI OLUWASEUN

this took me half of a year lol
Comment from : yuanjv

202
Comment from : Okeapan

I'm planning to learn the 25 hours course within 4 weeksbr2023-08-01: 1:14:30br2023-08-02: 4:12:33br2023-08-03: 4:45:33br2023-08-08 8:13:32br2023-08-09 13:57:46br2023-08-10 17:13:36br2023-08-14 19:26:30br2023-08-15 21:43:24br2023-08-16 24:00:00br2023-08-17 CompletedbrThank you Daniel for this great course!
Comment from : Platanus

If you got rid of all the mistakes, typos, bad attempts at humour and other superfluous stuff this course would be 6 hours long rather than 24 hours
Comment from : Phil Corrigan

Thanks!
Comment from : Giacomo Lami

Brilliant boy thank you for your awesome lecture
Comment from : ggm

7:11:32 @mrdbourke Here the issue was the tensor had gradient tracking for the loss values By simply setting the requires grad to false fixes it ie torchtensor(loss_values) does the fix
Comment from : Think Palm

Day 1: 1:14:28
Comment from : Joe

Thank you so much for this useful course🙏
Comment from : bon_sense

3:10:22brbrbrbr7:44:48 revise
Comment from : Aksh Rags-Mind Maze

5:26:34 apparently torchrandn(1) somehow always starts with 02345 i got it too lol Random much
Comment from : Think Palm

Hands down One of The Best Tutorials for ML and DL and PyTorch and Python all smushed into one big video Hats Off Amazing Thank you for this gem of a class
Comment from : Think Palm

The greatest PyTorch tutorial
Comment from : Trọng Hồ

Really more than a day 😅 Awsome !!!!!!
Comment from : Learner

You truly are Excellent teacher
Comment from : s shaikh

3:12:30
Comment from : Lander Reyniers

Just finished watching the whole video Thank you so much for your knowledge!
Comment from : Yura Pylypchuk

Wow❤❤❤
Comment from : M Ahmed

auto translated subtitles is not working
Comment from : Ramazan Köse

1 DAY????
Comment from : Ramazan Köse

YouTube's subtitle settings are broken, automatic translation doesn't work, can you add Turkish subtitles so I can understand more easily? brbrThere are some courses on Udemy about these topics but I want to learn in detail, I usually take notes while watching the videos but they don't go into detail, I want to learn the libraries and what these libraries do, the functions in them and the algorithms and math behind these functions, so I would appreciate if you can help me and thanks in advance for this
Comment from : f3riend

I am a beginner and am planing to do the mnist dataset problem, however at the moment I am going to complete classification section - should I complete the whole video before I start it or can I start it after completing classification and a bit of computer vision?
Comment from : Aaron Tigga

Finally Done after 2 weeks🤤
Comment from : Sol

regarding 0-19 (matrix multiplication) The times when you use for loop and torchmatmul() is nearly the same actually Or i would say it gives a pretty random results in google colab
Comment from : madfrag

"A scalar has no dimensions"brbrA scalar has one dimension; the number line It has an identity matrix [1] and an inverse matrix [1/n]
Comment from : Tophat

Finally completed the whole video, after a month Absolutely amazing stuff Daniel bourke is an amazing teacher
Comment from : Rhythm Rawat

6:23:06 So, to prevent this vidio to be too long
Comment from : Serafim Stringer

Thank you so much!!! 👏
Comment from : Nguyễn Nhi

4:04:47
Comment from : eris

can anyone explain me are these pytorch and tensor flow only for computer vision not for data analysis ? As I want them to learn about data but fail to do so ? All I get detail of numpy do image classification etc which isn't my interest
Comment from : Creativity Unleashed

Is this course for beginner
Comment from : Jack Alpha

around 17:37:25 when we defined the tinyVGG classifier class , i;' unable to use the maxpool2d layer , everytime i'm get an error stating there is no attribute such as MaxPool2d in torchnn can somebody help
Comment from : zasso

This is a pain to watch 😞 😞 Yes, I know the guy is not a dude, but the video is sucking your life energy 😞
Comment from : Petr Vset

Very nice tutorial ❤
Comment from : Md Yousuf Zaman

Thank you very much, very helpful
Comment from : Ghulam Abrar

My daily progressbrbrbrDay1 - 1:09:00
Comment from : S A Y A N

21:25:20 137Creating a custom dataset class in Pytorch
Comment from : Giovani Dacol

Hello
Comment from : Maria Cristina Arezzi

There's a miss understanding of the numpy to tensor conversionbrChanging the array does make an effect on the tensor created from the changed array, hence they may share memorybrAnd if I am misunderstood , please correct me
Comment from : Jay Padia

Absolute GOAT
Comment from : Srihari Krishnaswamy

14:56:50 Day 5br17:22:44 Day 6brBreaking Bad Day 7br23:17:56 Day 8
Comment from : Himanshu Singh

14:00
Comment from : Mr Millennium

1:54:00 Day 1br2:28:00 Day 2br2:49:00 Day 3br4:05:00 Day 4br5:44:00 Day 5br6:24:00 Day 6br6:47:00 Day 7br8:03:00 Day 8br8:48:00 Day 9br9:45:00 Day 10br10:13:00 Day 11br11:15:00 Day 12br11:56:00 Day 13br12:38:00 Day 14br13:18:00 Day 15br13:48:00 Day 16br15:00:00 Day 17br15:35:00 Day 18br16:16:00 Day 19
Comment from : Rumit