NVIDIA
Register for the full course at https://developer.nvidia.com/deep-learning-courses. Also, watch more classes on deep learning: http://nvda.ly/R7vui. This first in a series of webinars Introduction to Deep Learning covers basics of Deep Learning, why it excels when running on GPUs, and the three major frameworks available for taking advantage of deep learning.
Source
NVIDIA Deep Learning Course: Class #1 – Introduction to Deep Learning
Good content, poor audio.
I don't care about the audio, this is free people! You guys rock & are a huge asset to my Machine Learning studies,
NVIDIA = good video cards, no money for good microphone..
badly needs to train himself out of the "uh" habit
This is a recording from a press release / meeting / keynote – Please bear with the audio. It is audible.
Shame NVIDIA engineers are recording their audio while underwater.
The subtitles are a treat
This introduction helped me a lot, thank you. 🙂
deep learning = glorified curve fitting
hey nvidia, can you use deep learning to cleanup this shit stain of an audio you recorded using a potato? Where is a tutorial for that?
One day, a deep learning neural network will output the date of the end of the human race.
Hi NVIDIA,
Do u have the transcript for this video?
Please give me.
Thank you so much for sharing.
It's quite sad to see some ungrateful comments. Some people these days just take things for granted.
Good Q&A at the end, at least it is to me as a novice in deep learning. He seems to know what he's talking about.
i stopped in three minutes through the video. cannot stand the audio. It is a shame….
where is the next video from this series?
The best introduction to deep learning that I have seen so far!!!
Thank you Allison
Nvidia is offering industry courses in deep learning and artificial intelligence under deep learning institute.
For more https://spinonews.com/2017/10/31/nvidia-extends-partnership-offer-courses-under-deep-learning-institute/
maybe you guys can use deep learning to improve the sound quality of your videos !!!!
The question is: how much of the network was actually a contributor to the competition success? 10%? 1% How many wasted computations were spent to support the network which didn't actually have a significant weight in the solution?
why not build a database of work done on this system for people to try and learn with later… A website is not expensive for a link to google database.
keep saying uhh and umm and I'm gonna punch you in the face!
Thanks!
This is it !
Is he speaking into a wet rag?
Thank you for this information please send me (slides & links)because every link is not available.
Please in my college i need to use CUDA 10 and i want to know how can i update from CUDA 9 to 10 on the Nvidia courses?
When this video was uploaded, if anyone have invest 1,000 dollars in Nvidia would have taken home $30,000 today
Who needs audio, its nvdia we make yours eyes hear .