Can tensorflow be used for non-deep learning machine learning? Like logistic regression, xgboost, random forest etc.?
I just started listening to lesson #8 v1 on my commutes Hope I will survive the TF I listened about this today.
This seems to have been a nice initiative. Not sure where it went though? Maybe it got sucked into TF in a fashion similar to Keras?
Yes, In a way. Tensorflow is for neural networks (I dont really use Tensorflow so Its possible it supports other algorithms). A single layer neural network is basically the same as logistic regression. @jeremy explains in lesson 6 or 7 of the ML course.
I see there are few “non-deep learning” algorithms being implemented under tf.contrib : https://github.com/tensorflow/tensorflow/tree/r1.10/tensorflow/contrib