This paper is published in Volume-4, Issue-6, 2018
Area
Computer Science ,Deep Learning ,Artificial Intelligence
Author
Shivam Shah
Org/Univ
Parul Institute of Engineering and Technology, Parul University, Waghodia, Gujarat, India
Pub. Date
03 November, 2018
Paper ID
V4I6-1151
Publisher
Keywords
Deep learning, Deep learning tools, Theano, Caffe, Pytorch, Tensorflow

Citationsacebook

IEEE
Shivam Shah. Deep learning: An introduction to framework, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Shivam Shah (2018). Deep learning: An introduction to framework. International Journal of Advance Research, Ideas and Innovations in Technology, 4(6) www.IJARIIT.com.

MLA
Shivam Shah. "Deep learning: An introduction to framework." International Journal of Advance Research, Ideas and Innovations in Technology 4.6 (2018). www.IJARIIT.com.

Abstract

Deep learning also called hierarchical learning is part of a broader family of machine learning method based on the learning data representation .learning can be supervised, unsupervised or reinforcement there are many deep learning libraries nowadays. Libraries contain direct function by which we can import the library and we can directly perform an algorithm on the data .now days number of such type libraries are available with their available feature and benefits .we have to select an appropriate tool for performing a particular task is difficult to decide. This research represents the comparative analysis of deep learning libraries .the main libraries which I will compare is sensor flow, pytorch, theano, and caffe the parameters for comparing the libraries are the adoption, dynamic and static graph definition, debugging, visualization and data parallelism.