In this live session I'll introduce & give an overview of Google's Deep Learning library, Tensorflow. Then we'll use it to build a neural network capable of predicting housing prices, with me explaining every step along the way.
Code for this video:
https://github.com/llSourcell/How_to_use_Tensorflow_for_classification-LIVE
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More learning resources:
https://jalammar.github.io/visual-interactive-guide-basics-neural-networks/
https://www.oreilly.com/learning/hello-tensorflow
https://www.tensorflow.org/tutorials/mnist/beginners/
https://github.com/aymericdamien/TensorFlow-Examples
https://www.youtube.com/watch?v=2FmcHiLCwTU&t=84s
https://cs224d.stanford.edu/lectures/CS224d-Lecture7.pdf
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