| hello_tensorflow |
Simplest possible TensorFlow program illustrating creation a session, evaluating constants, and performing basic arithmetic. |
| linear_regression_simple |
Simple model that learns W and b by minimizing mean squared errors via gradient descent. |
| linear_regression_multiple |
Illustrate how a multiple linear regression (Y ~ XW + b) might be fit using TensorFlow. |
| mnist_softmax |
Use softmax regression to train a model to look at MNIST images and predict what digits they are. |
| mnist_with_summaries |
A simple MNIST classifier which displays summaries in TensorBoard. |
| mnist_fully_connected_feed |
Trains and Evaluates the MNIST network using a feed dictionary. |
