Applying Convolutional Neural Network

I am in the process to implement 'Convolutional Neural Network' using Tensor-Flow (Python lib). My input data is graphical (Example Show in [login to view URL]) and for each input data I'll provide 04 graphs. All 04 graphs represent one feature but in different domains. The number of labels for each set of 04 graphs is 15 (Example of 14 Data-sets is shown in [login to view URL]). I'm new to CNN and want this project to be implemented in Python. I'm in the process to acquire data nowadays and need a freelancer to train the data such that whenever I provide these four set of graphs for a single feature, I should get the respective labels/concepts with least error. Kindly provide me answer of the following questions while carefully applying bid to the said project. 1) Provide me a clear example of a similar job you have done in the past? 2) Do you have any recommendations in changing the labels before starting the project (I mean if you require me to increase or decrease the number of labels or to make amendments in the data/labels)? Note: It should be noted that I have GTX 1080 GPU. I can provide online access to my system if the freelancer don't exhibit the said facility.