Deep Learning with PyTorch - Course Reflection
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- čas přidán 24. 07. 2024
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In this lesson, we will wrap up the PyTorch deep learning course.
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00:00 Welcome to DEEPLIZARD - Go to deeplizard.com for learning resources
00:10 Deep Learning with PyTorch
03:50 Collective Intelligence and the DEEPLIZARD HIVEMIND
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I'm a graduate student from China who learned about the course you did while studying deep learning and then fell in love with the videos you made in one fell swoop. Although the content of the course is all in English, your clear presentation and interesting content got me hooked. It took me about a week to watch all the videos, but I know you have been working on this for about 4 years. I appreciate your contribution and hope I will have the opportunity to pass on your knowledge and help others in this field. I also follow your vlogs and know that you have been traveling in Asia lately, so you are very welcome to come to China. Thank you!
Thank you, Wang! So happy to hear how much you enjoyed the course. Congrats on completing!
Thanks a lot for the course.. It was very important to me!
this was awesome course. thankyou to all those behind this content
This course is verrrry underrated
Thanks for your four year's effort on this course. I really enjoy this course
Thank you for taking the time to let me know 🙏❤️
- Chris
I have finally made it to the final video, ending these series today. My Google doc summary note of this playlist is 123 pages (many screenshots). I've noted down every little thing you said. I am so happy to have finished this. My internship is starting in two weeks and I had to learn pytorch from scratch. I was nervous, and I am so lucky to have made the right decision by choosing your playlist before anything else. I've wrote a comment mid-playlist a couple of days ago, and I'll requote what I said: I CANNOT BELIEVE YOU GUYS ARE NOT OVER 1 MILLION SUBSCRIBERS. You're so underrated but I know that won't last for too long. In my opinion, you're one of the top content creator when it comes to AI. You do it perfectly, and I appreciate all the effort you guys have put into making such beautiful videos from start to end, including all the short ted talk clips. The effort you put into this is enormous and amazing, thank you for taking the time to make beautiful videos like these. I will always remmember deeplizard for the rest of my career in AI, and I'll def be sharing this with everyone I know. You guys deserve all the best. Please keep making amazing content regardless of the small number of views on some videos. You rock
Thank you so much Fatima for your kind and generous comment! We're so glad you enjoy and find value in the content. Congrats on completing the course! 🥳
Can you share your google doc summary notes? Thank you!
Can you share the notes?
Finally! From the cover to the tail. Although I was working with Tensorflow, I really (really) was happy and satisfied with the content you produced. What makes you really provide comprehensive content from my perspective is you're applying Math & Science behind the network then implementing it with a code. I was really happy to follow up with this journey and I'm looking for to seeing you succeed day by day. Now, I can go with a strong PyTorch mentality to continue my course with you about reinforcement learning. Thank you again for Deep Lizard and As you're saying - I see you with the next one!
thanks Cris for making this course, by far this is one the best Pytorch playlist to ever exist on the internet. i started learning pytorch 3 years ago. But i always comeback to this course for a refresher. honestly one of the greatest content in pytorch out there.
Thank you so much for making such an amazing course, Cris!
I love your videos. They are clear and well explained. I spent four days finishing all the videos and replicated the codes on my computer. The experiment part is indeed very interesting, useful, and efficient. Of course, all the other contents are amazing too. Love it so much! Thanks again.
Wonderful series,
It's really been nice if you would give numbering in the title of each video of pytorch. So that it's really easy for us to track
Thanks
i finished the course and i can surely say that it is the best ever ...thankyou so much Mr Chris
Mad respect. Doing all of this for free. I loved it. I did it all in 2 days. Gonna binge your channel now :)
this was great pro , thank you 💓
Thanks a tonne for this course. Enjoyed every bit of it, and I can safely say, I'm much well versed in Pytorch now than before. Kudos for an amazing job! A very very underrated channel
@deeplizard excellent work! However I do not see some of the later videos you just talked about in this conclusion video (the test framework and the training videos). Can you help me with the link of those videos
Done all videos, trying to replicate code each time on my computer. Indeed last lessons were too complicated for me. I know that if you want to experiment, you will target that type of automation, but there are more than one way to do it and it's probably a topic for another course.
@deeplizard A totally unrelated question: The charts look like Excalidraw and Obsidian but.. I guess it's not? How did you draw it?
Excalidraw is correct :)