TensorFlow from the ground up (ML Tech Talks)

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In the next talk in our series, Wolff Dobson will discuss 6 easy pieces on what you need to know for TensorFlow from the ground up (tensors, variables, and gradients without using high level APIs). This talk is designed for those that know the basics of Machine Learning but need an overview on the fundamentals of TensorFlow.

Chapters:
0:00 - Intro and outline
2:12 - Tensors
6:08 - Variables
9:19 - Gradient tape
13:57 - Modules
17:43 - Training loops
28:53 - Conclusion

Resources:

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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!

timogden
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Wow, this is an outstanding overview of TensorFlow & all it’s moving parts! Thank you

mrdbourke
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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.

rajeshv
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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

WhenThoughtsConnect