Damn, this was a fantastic talk. I've been using Tensorflow for 3 years now and am a certified tensorflow developer and I feel like I learned so much about the lower-level stuff. Definitely not a talk for beginners to hop into but a fantastic resource for intermediate tf users who want to fill in the gaps. Great work and really good presentation!
Excellent talk! I would say you should watch this once you've played around a bit in TF. Then it would be like looking back from a vantage point at a mountain road with lots of switch backs. Gives a sense of clarity.
@@vjt814 If you're looking to learn about ML/TF , I would suggest to check out some courses on Coursera or eDX. There are some beginners material on the official TF site too. Aurelion Geron's book 'Hands-on Machine Learning...' a good one too, if you can get hold of it. Good luck with your learning.
Imagine having the ability to control speed and direction of wind fields to loft marbles to have them fall at the right time, and a game controller where you can deform to the shapes of the buttons (PCA) to catch all the marbles. and all the if statements that get triggered when a button gets pressed, throwing away the ones that give you the lower score o.o
Wow, this is an outstanding overview of TensorFlow & all it’s moving parts! Thank you
Thanks Daniel for bringing us here
Damn, this was a fantastic talk. I've been using Tensorflow for 3 years now and am a certified tensorflow developer and I feel like I learned so much about the lower-level stuff. Definitely not a talk for beginners to hop into but a fantastic resource for intermediate tf users who want to fill in the gaps. Great work and really good presentation!
Excellent talk! I would say you should watch this once you've played around a bit in TF. Then it would be like looking back from a vantage point at a mountain road with lots of switch backs. Gives a sense of clarity.
I’m starting out in ML, is there any specific space I should look to for better understanding of this?
@@vjt814 If you're looking to learn about ML/TF , I would suggest to check out some courses on Coursera or eDX. There are some beginners material on the official TF site too. Aurelion Geron's book 'Hands-on Machine Learning...' a good one too, if you can get hold of it. Good luck with your learning.
Imagine having the ability to control speed and direction of wind fields to loft marbles to have them fall at the right time, and a game controller where you can deform to the shapes of the buttons (PCA) to catch all the marbles. and all the if statements that get triggered when a button gets pressed, throwing away the ones that give you the lower score o.o
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