this repository is for testing some of the functionality of tensorflow

Created by Carl R. Knox on Mon Nov 9 10:43:08 MST 2015

• shows construction of a basic graph
• shows execution of ops in a graph (e.g. matrix multiplication op-type here)
• shows launching of a graph in a session
• shows use of tensorflow.device to utilize specific cores for ops

• shows creation of a scalar variable and operations on it as a tensor, using tensorflow

• shows how to fetch multiple outputs of ops so that all ops are run once, not once per requested tensor.

• shows how to patch tensors directly into any op in a graph

• shows how to utilize tensorflow to train with simple gradient descent optimization on MNIST data (ref. below).

• notes forthcoming

• notes forthcoming

• each directory contains a target script, usually named similarly to the directory name; each directory is self- contained in that way and can be run individually.
• the module scripts are interpreted using a base tensorflow virtualenv, installation instructions here
• some IDE settings are included in this repo. if you don't want them then just delete the .idea directory from project root after cloning the project.
• MNIST : Mixed National Institute of Standards and Technology

• tensorflow tutorials
• MNIST Data
• MNIST Visualization
• Principal Component Analysis
• Softmax Function Description
• Cross-Entropy
• Backpropagation Algorithm
• list of tensorflow optimization algorithms
• Rectified Linear Units (neural networks)
• Convolutional Neural Networks
• Logit Models for Binary Data
• Logit
• Modeling one neuron : neural networks