Implementación de algoritmos de clasificación con Deep Learning a través del uso de la librería TensorFlow

Abstract

Abstract:In this work we performed tests with algorithms using the Deep Learning Neural Networks method with the TensorFlow library on a data set of 6 million logs of actions executed by students in the OpenCampus platform based on OpenEdx of the University, the data debugging was performed with the Pandas library for the need of the algorithm to treat data manually to be semi-supervised, for tests the evaluation of the algorithm with the Neuronal Network Convolucional was executed with 1 million logs. Two classifications were examined, one by type of event in relation to the student and course, the other by the approval status of the students for each course. The analyzed data suggest that the greatest number of students have difficulties in passing the courses. The methodology used was adapted from KDD s original methodology to take advantage of its use with Deep Learning.