ML Frameworks

One can think of todays successful machine learning frameworks (like Tensorflow, Torch) as an offspring of two greater relams - Scientific computing and Software engineering. The latter helps in realizing the machine learning application by pushing towards deployment, where as the former deals with the science of solving mathematical problems with computers. The common mediator was Directed Acyclic Graphs (DAGs).

Leveraging on all the above mentioned advances, machine learning frameworks are being developed.

Go back Modules