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 |
|
18:30:00 Comment from : Aseem Chib |
|
A brilliant educator The style of delivery suits me incredibly well Thank you freeCodeCamp and the talented Mr Bourke! Comment from : Bwallace |
Machine Learning With Python Full Course 2023 | Machine Learning Tutorial for Beginners| Simplilearn РѕС‚ : Simplilearn Download Full Episodes | The Most Watched videos of all time |
Machine Learning | What Is Machine Learning? | Introduction To Machine Learning | 2021 | Simplilearn РѕС‚ : Simplilearn Download Full Episodes | The Most Watched videos of all time |
Types Of Machine Learning | Machine Learning Algorithms | Machine Learning Tutorial | Simplilearn РѕС‚ : Simplilearn Download Full Episodes | The Most Watched videos of all time |
Dope Shope ( LYRICS ) | Yo Yo Honey Singh | Deep Money | International Villager | Deep Lyrics РѕС‚ : Deep Lyrics Download Full Episodes | The Most Watched videos of all time |
5.2.1. Statistics for Machine Learning | Machine Learning course РѕС‚ : Siddhardhan Download Full Episodes | The Most Watched videos of all time |
హిందీ పూర్తిగా ఉచితంగా నేర్చుకుందాం రండి | Spoken Hindi Full course | Hindi in Telugu full course РѕС‚ : VRR Tutorials Download Full Episodes | The Most Watched videos of all time |
Finger Abacus Level 1 Full Course-Abacus Maths With Finger -Finger Maths Full Course-ABC Tube TV РѕС‚ : ABC Tube TV Download Full Episodes | The Most Watched videos of all time |
Machine Learning vs Deep Learning РѕС‚ : IBM Technology Download Full Episodes | The Most Watched videos of all time |
Machine Learning for Everybody – Full Course РѕС‚ : freeCodeCamp.org Download Full Episodes | The Most Watched videos of all time |
Africa slot game machine coin operated machine Kenya popular machine casino machines РѕС‚ : CICI Liu Download Full Episodes | The Most Watched videos of all time |