A simple TensorFlow code that demonstrates learning three simple models:
- logistic regression,
- net with one fully-connected hidden layer,
- convolutional net with two hidden convolutional, one hidden fully-connected layer.
Prerequisites:
- Python
- Tensorflow
If you use Linux or OSX the installation should be pretty smooth via pip (instructions).
You can run TensorFlow on Windows via Anaconda (instructions) or Docker (instructions). For installation instructions on Windows 10 see here taking into account that the at the time of writing of this README the current version is 0.11, so replace 0.8 with 0.11. Disclaimer: I have not tried to install nor run TensorFlow on Windows.