Implementation of TensorFlow and Caffe Frameworks: in View of Application
Suguna Satyavolu, Annasamy Bagubali · 2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN) · 2019
With ever increasing demand for applications of Deep Learning (DL) in various fields namely industry and academic areas, the demand for success rate of application of Deep Learning frameworks is also increasing at a rapid rate. There are wide range of DL frameworks available, each having its own functions and characteristics. The combination of frameworks and algorithms together provides the desired output. For this purpose, analysing of frameworks along with various algorithms in different application must be known to select the best framework for a specific application. In this paper, two frameworks such as TensorFlow and Caffe are implemented in specific applications and results are analysed to choose the best framework based on application.