Dockers

Two posts before this,(here) we worked on creating and transforming custom images to tensors, for training and testing Neural Networks on Pytorch framework; next, we built a Neural Network from an existing model, then made use of transfer learning with Pytorch, to train and test our dataset. In this post, we would give six experienced advantages of the docker, and how It would be a useful platform to have for fort coming projects. These qualities would progressively show up for improved teamwork, collaboration, and deployment from an enterprise standpoint.