Week 1 progress update

Week 1 progress

 

        This week I started building the algorithms for operating my convnet. I first installed TensorFlow, the framework I am using to build the models, which took far longer than it should have because of compatibility issues with the python installation on my machine. After I got this installed I did some minor research into data sets and chose a beginner data set for creating a neural network. This data set consists of different classifications of Belgian street signs. I then created a small algorithm to load the data as shown below.
The complications in installing TensorFlow set me back and this was as far as I got during the week.

Comments

Post a Comment

Popular posts from this blog

Week 5 Progress Update

Image
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)
Read more