I recently discovered “almost by accident” the product Jetson TX1. All the reading about the product, videos lead me to also read about the deep learning and neural networks, I have to say, I’m fascinated.
Knowing that my knowledge as a developer=0, I have some IT background, and I would love to be able to “Play “with the Jetson TX1, for the robotic (I watched some videos from Jetsonhacks YouTube channel)
I’d like to start with a Jetson Tx1 and a Kinect, to understand and train myself
What is your background?
What are first steps?
Which language(s) I need to learn?
Where/how to learn about deep learning and neural networks from the very beginning?
Please be patient with me and thank you very much for any help/information/suggestion in this new adventure for me
Great question! I would start by browsing the available documentation (like the Jetson TX1 Datasheet and Carrier Spec) from here: Jetson Download Center | NVIDIA Developer
See here for our OpenCV and VisionWorks tutorials: [url]https://developer.nvidia.com/embedded/learn/tutorials[/url]
We will be posting more episodes of the OpenCV tutorial in the next few days. The VisionWorks tutorials are also good to learn, because the performance is optimized for Jetson TX1.
If you are interested in aquiring a Jetson TX1 Developer Kit, you can purchase it from here ([url]https://developer.nvidia.com/embedded/buy/jetson-tx1-devkit[/url]) and apply for EDU discount (if you have .EDU email address). The devkit is on backorder right now but NV website is replenishing units shortly for fulfillment.