January 2018
Beginner to intermediate
284 pages
8h 35m
English
Content preview from Deep Learning Essentials
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Framework comparison
Though a number of deep learning software frameworks exist, it is hard to understand their feature parity. The table Feature parity of DL frameworks outlines each of these frameworks with their feature parity:
|
Languages |
Community Support |
Modeling Flexibility |
Easy configuration |
Speed |
GPU Parallelization |
Tutorials |
|
|
TensorFlow |
Python |
Excellent |
Excellent |
Excellent |
Strong |
Strong |
Excellent |
|
Caffe |
C++ |
Excellent |
Strong |
Strong |
Strong |
Good |
Strong |
|
MXNet |
R, Python, Julia, Scala |
Excellent |
Strong |
Strong |
Strong |
Excellent |
Excellent |
|
Torch |
Lua, Python |
Strong |
Excellent |
Excellent |
Excellent |
Strong |
Strong |
|
Theano |
Python, C++ |
Strong |
Strong |
Good ... |
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