Table 2 Comparison of open source tools for deep learning
From: Plant diseases and pests detection based on deep learning: a review
Tools | Publisher | Supporting hardware | Applicable interface | Usability |
|---|---|---|---|---|
Tensorflow | CPU, GPU, Mobile | C, Python | Flexible development, portability, powerful performance, support for distributed applications | |
Torch/PyTorch | CPU, GPU, FPGA | C, Python, Lua | Easy to debug and develop, support dynamic neural network, easy to expand, modularization and low learning cost | |
Caffe | BAIR | CPU, GPU | Python, Matlab | High readability, easy to expand, fast speed, large number of users and wide community |
Theano | MILA | CPU, GPU | Python | Flexible and high performance |