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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