The objective in this first part is to explore and implement an algorithm of plant recognition through a convolutional neural network: Using the CNN (Convolutional Neural Network) algorithm. Initially, we have a data set of 3655 images of flowers, forming 5 different classes. This allows us to learn a classifier and generate a model capable of classifying our images.

Our objective in this second part is to optimize our code in order to improve performance by using parallelization and vectorization tools (OpenMP, MPI ..).

  make all
  make Run_program