Hi, my name is Jack.
When you think of Nvidia, what's the first thing that comes to your mind?
In high school, I used a computer with an NVIDIA graphics card to play games.
In college, I used a computer with an NVIDIA graphics card to study artificial intelligence.
N-card is a good thing, and both games and learning are correct, which is why many people choose N-card.
It is no exaggeration to say that Lao Huang is an "AI madman" and a "DL preacher".
The new GPUs with explosive performance every year have promoted the development of various related industries.
Recently, I stumbled across the Nvidia website: they seem to be doing something!
AI They released the tutorials prepared for entry-level developers into Chinese.
These basic courses can help newbies get started quickly.
In addition to basic courses, there are many advanced content.
If this is a simple tutorial, it will be fine, after all, it is the company that invented CUDA, and no one knows CUDA better than them.
Many large companies at home and abroad also have their own free courses.
After the public class is over, there is an official certificate:
But Nvidia, this wave, is not just as simple as releasing training courses .
After my study test, I found that NVIDIA has equipped an online development environment for each course .
Meaning: they give you the graphics card (GPU accelerator) for free .
Their tutorials, whether free or paid, provide a cloud-based GPU development environment as long as you learn, and this environment is configured according to the tutorial.
Enthusiasm for learning is often extinguished by cumbersome environment configuration, but NVIDIA does not have this problem.
They have been configured in advance, and for each course, the corresponding cloud GPU development environment can be used.
It allows us to focus more on learning the algorithm and the program itself, which is too friendly for beginners .
It is equivalent to freeing you to use a GPU graphics card to learn, and also help you configure the development environment.
Nvidia, always drop God!
URL: Understanding AI: Getting Started with NVIDIA AI Fundamentals | NVIDIA
I have produced a lot of interesting and meaningful AI algorithms.
What's interesting is that it requires a lot of knowledge to support. For those who are interested in algorithms, you can take a look at NVIDIA's official tutorial.
For me, their open courses are the CUDA accelerated courses and Jeston series courses that attract me.
CUDA is developed by NVIDIA and is their core technology. No one knows CUDA better than NVIDIA .
In the past two years, more and more projects have been implemented on mobile algorithms, which is a major trend.
Exploration in academia, landing in industry, and increasing demands in industry require the ability to deploy algorithms on mobile terminals.
Friends who have done similar projects should know that if you want a mobile device with better performance, that is the Jeston series of chips, which can meet the vast majority of application scenarios with the CUDA optimization acceleration scheme.
I used their Jeston TX1 in 2017 when I was still in grad school.
At that time, there were too few technical blogs related to Jeston, and the materials were pitiful, and the projects I did with the teacher still needed to be used, so I could only do it while learning.
In order to facilitate the quick start of the latecomers, I wrote a column in the Jeston series, which is a more basic tutorial.
Time flies so fast, 5 years have passed.
NVIDIA's official video tutorials are all there, Ye Qingjie!
In addition to some open classes, there are also roundtable-like content.
The group discussions of some bigwigs in the industry are very meaningful and help us guide the direction of our AI career.
The specific content will not be long-winded. If you are interested, you can watch it yourself. It is a very good official video.
Oh, by the way, NVIDIA also has a DLI scholarship program, you will have the opportunity to get a scholarship when you study, and you are done.
Finally I ask:
In other words, Nvidia officials saw me blowing like this, can I get a discount on the 40-series graphics card in the future?
Waiting online, very urgent.
Finally, let’s talk about NVIDIA’s official open class address.
Understanding AI: Getting Started with NVIDIA AI Fundamentals | NVIDIA
Finally, I will send you a copy to help me get the data structure of BAT and other first-tier manufacturers . It was written by a Google master, and it is very useful for students who have weak algorithms or need to improve:
Google and BAT big boss's brushing notes, after reading 80% of the algorithm questions in seconds!
As well as the BAT algorithm engineer learning route, books + videos , complete learning routes and instructions that I have compiled , it will definitely help those who want to become algorithm engineers:
How I became an algorithm engineer, super detailed learning path
Don't just collect it, come to like it, refill~