Learn how to code in tensorflow in an efficient and modular style. Tricks and tips for dealing with computational graph style coding, where computations are defined in code with data unspecified until later.
neural_net
- tensorflow_nnetwork.ipynb: Tutorial directions/complete
- tensorflow_nnetwork.html: Tutorial directions/complete
- nnet1.py: template for first pass at neural network
- node_ops.py: template for neural network functions
- generic_model.py: template for tensorflow generic training class implementation
- nnet2.py: template for better implementation of neural network
- tensorflow_nnetwork_template.ipynb: Base code to begin tutorial from (ipython notebook)
mnist_net: Original tensorflow tutorial completed