A guided implementation of basic word-to-vec model using Tensorflow
Explains Relative Entropy from different perspectives and how it is used to derive cost functions for various ML tasks like classification, etc,.
Describes a possible way of structuring TensorFlow code so that it can be used with TF's highlevel APIs like tf.estimator
Getting started with TensorFlow by doing Linear Regression