deletions | additions       diff --git a/section_First_Idea_The_first__.tex b/section_First_Idea_The_first__.tex  index 93826f7..9359551 100644  --- a/section_First_Idea_The_first__.tex  +++ b/section_First_Idea_The_first__.tex 
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When we launched the first trait we noticed that all the network layers, both weights and data were set to zeros. To overcome this problem we decrease the learning rate and build the training files using random permutation of the images.   Then we test the fine-tuned model building a deploy.prototxt file that takes as input images and predict the traits of them. Testing the net we noticed that the net wasn't able to learn to much...maybe the task is to hard... We pretend to generalize a personality trait form 45000 images a predict a float number given a new image.