Partially Trained Neural Network Updates

Week 5 Progress Update I spent much of this week making my CNN with Cifar-10 an image set that offers a lot of training data. I didn't get a whole lot done code wise this week because this was my main focus and I am not very well acquainted with the data pipeline system in Tensorflow. However I do have the beginning of processing code and I completed the code for optimizing the CNN which should work pretty well with my code for the rest of the model. Over the next week I will probably finish up my data processing code and start debugging the CNN. Data processing functions and variables (above) and optimization code (below)

Week 4 Progress Update         This week I spent the first few days doing more research into how to build a CNN in TensorFlow. I primarily used the TensorFlow example ( https://www.tensorflow.org/tutorials/images/deep_cnn ) and the corresponding documentation for this. Once I found I had a solid understanding of the basics of TensorFlow I began programming my own CNN, loosely based off of the TensorFlow example. I have not yet used it or chosen a dataset to test it with but I have created all of my helper functions and built the framework for the model as shown below.