Machine Learning 101: Intro To Neural Networks (NVIDIA Jetson Nano Review and Setup)

Neural networks are types of machine learning algorithms that are everywhere in our daily lives! We hear a lot about them in the news today, but how do they work? This episode introduces some neural network basics, and uses this information to build an autoencoder, a type of neural network that automatically learns how to compress and decompress images, and can even be used to generate new images that did not exist before!

The autoencoder shown in this video is implemented in Python on the Jetson Nano, a small single board computer with an integrated GPU made by NVIDIA! Built for embedded applications, this little board is a machine learning powerhouse and makes it easy to integrate neural networks into your own DIY maker projects!

Ready to continue learning about neural networks or get started on implmenting your own? Check out the links below for more details!

Interested in setting up your own Jetson Nano? You can pick up all of the hardware used in this video from Amazon using the following affiliate links:

Other components:

(Note: All Amazon links are affiliate links. As an Amazon Associate I earn from qualifying purchases.)

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#JetsonNano #NeuralNetworks #MachineLearning

[patrickjdarrow]

I use the Nano in my work and have to say that this is a great starter guide for those looking to get comfortable with this rising class of boards

[edmanjonah]

Thanks for the video. I just started to know this jetson and learning again about neural network, something that I did in my final project in uni back in 1994. As I remember, the hardest part in computer vision/artificial intelligence is the feature extraction, to get the informative feature to be fed to the neural network. With proper feature exctration algorithm for particular problem, the neural network is better at solving, as image or picture variation in the photo still reduced to the same/similar features.

[NicoDsSBCs]

Great video. I also just made a review video about the Jetson Nano. But I'm totally not happy with mine. I gotten the board from a seller, and didn't have enough time to investigate everything. I first had to finish my review of the NanoPi M4V2, for that I had to help making Armbian run on it. So then only 1 week for the Nano. Had problems with the sdk manager. So didn't have time to look into the neural network samples.
I review normal SBC's, but this was a bit too different to quickly make a video.
Your video is amazing, full of info and well worked out. I wished I had seen this before making my video.
I once was a programmer working on neural networks from 1999-2001(I was 15 when I started working there full time). I worked with a neural network machine called the CAMBrain. We developed different algorithms and data input methods that still are used today. But the company, CELE(Center for Evolutionary Language Engineering) went bust in 2001. So I lost my job, didn't have a school degree, couldn't get a programmer job since thousands of other programmers lost their job at the mother company Lernout & Hauspie(L&H, speech technology that's now used for siri, google translate, and many other things) And so I lost all interest for 15 years in anything tech.
Until I bought the Raspberry Pi 2b about 4 years ago. I immediately had found my love back, then bought the Odroid C2. Best buy I could have done. I used it to edit and render travel videos while on the road, powering it with power banks. And charging my power banks with solar panels.
That way I got into SBC's, by accident I made a bad video about the Tinker Board. But it had thousands of views. So I kept making videos about the new boards I bought hoping something was better than the Odroid C2.
And then companies just started to send me boards to review. I also do some moderator/dev/test work for Armbian now, and give support for the boards I've got.
So instead of being a travel channel, my Youtube Channel turned out to be a tech channel. I still do make travel videos, with better boards now. Better quality.
But those videos don't do as well as SBC videos.
Again amazing video. I didn't know neural networks had evolved so much. I even hadn't heard of neural networks for 10 years after I stopped working at CELE. I thought development had stopped for it. It was a surprise first time I heard about it again so many years later. Nice to see it was not all for nothing :) Have a great day. You've got a new subscriber. Thank you.

[leguirerj]

Just wanted to mention that the Amazon link you have in the description points to the 12V version of the Noctua fan, not the 5V one. This is a very good video. Thanks.

[pandagineer]

Hi. Great video and explanation. I’m new to AI, so I’m still confused about the purpose of this algorithm. Aren’t we just building a compression /decompression algorithm? If so, why wouldn’t we just use (non-AI) jpeg, etc? I’m genuinely interested. Thanks.

[rams]

SIMPLY SUPERB EXPLANATION... THANK YOU FOR THIS DEMO!

[indianarchangel]

Do you have a machine learning or deep learning course? Your explanation was outstanding.

[lamgoctam]

Love your video! Why do you need to change from a good image to a reconstruction image that we can not recognize what that is?

[MrHumboldtPenguin]

Thank you for posting this! About how long did it take to set up the dev kit and do the installs listed?

[sahilpawaskar]

Is it possible some how that macbook Air M1 can be use an monitor for Jetson board ?
Please reply I am new to this field.

[StevenKiyo]

Great video ! I couldn't find the neuralNetworkAutoencoder file after opening the jupyter notebook. If there is there a place to refer, I will be more happy.

[PritishMishra]

Sir, what is good for AI Rasberry Pi or Jetson Nano?

[irzan]

so, should I buy this if I just want to learn about machine learning or neural network?
I have a machine with Intel i7 7th gen, 16 GB RAM, but without GPU.

[jasonli]

Very Appreciate bro, could you make a tutorial video for how to use python code to drive a servo motor via Arduino IDE for Jetson Nano?
Thanks a lot.

[diggleboy]

This video is a great intro to embedded machine learning with the Jetson NANO by NVIDIA. Subbed! Liked! Smashed the bell!

[cybersecurite_CPT]

when i power up my jetson nano card it turns on but does not start and the ignition light on the card is red when it is supposed to be green i need help and explanation to solve this problem please

[mohamed_fawzy]

keep it up man (Y) gratings from Egypt

[alanlondon]

I've gone through this tutorial step by step. When I try to run this I get 'resource exhausted' error. I believe I am running out of memory. I don't think I missed any steps so how have you got it to run on yours? Any suggestions would be appreciated.

[DaMaccOo]

when i try to install jupyter notebook, i get alot of errors after "installing build dependencies...error". can someone help?

[astroboytechranger]

Iam looking for Jetson nano CPP programs for line departure warning, self driving with camera assistance, road sign recognition, safe distance estimation and warnings, ADAS-advanced driver assistance applications that are in code AUTOSAR architecture compatible, help me if some one having similar devolapment