Machine Learning, Artificial Intelligence, Neural Networks, and Functional Prog.
TensorFlow for Dummies, by Matthew Scarpino, 2018
This is written in C++ and you can get the source code from github, you can change it if you want. You can build it for Linux, Windows, or for Mac OS. And you can run it on Google's Cloud.
I would not even be looking at something which was any less than this. Not interested in being involved in another of Chairman Bill's gambits to get you into his proprietary languages and development environments.
Mostly this seems to be about regressions and neural network algorithms.
They want you to control it through Python. But R and Ruby work pretty much the same way. Like Python their strength is that you can use late linking and add to the interpreters, add to the language, without forking the interpreter source code.
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last commentMan you’re going all in on the non fiction section at the Library today aren’t you!?!?
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Shailynn and ThatXGuy85 are waiting for the Clorox mopping in the Underground Circle Jerk Room to get finished.
SJG
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^^^ So book also talks about other frameworks:
Touch
Theano
(similar to NuPhy, the Python Math Package)
Caffe
Keras
And then Tensor flow supports GPU acceleration, the Graphics Porcessing Units.
Most common languages for this is OpenCL and CUDA. But the latter is only for Nvidia processors
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Please, make sure your mom gives you your medication today.
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Shailynn is locked in pre-adolescence by that Kevlar and vulcanized rubber jock strap that his mom makes him wear so that his voice doesn't change, and so he can keep singing in the West Texas Christian Glee Club. Well, as you probably surmised, some of his critical parts have started to atrophy.
Hands-On Machine Learning with Scikit-Learn and TensorFlow
by Aurelien Geron
O'Reilly (2017)
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