Difference between revisions of "Keras"
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*[http://www.youtube.com/watch?v=edIMMTL2jlw&list=PLVBorYCcu-xX3Ppjb_sqBd_Xf6GqagQyl Deep Learning with Keras and Python] | *[http://www.youtube.com/watch?v=edIMMTL2jlw&list=PLVBorYCcu-xX3Ppjb_sqBd_Xf6GqagQyl Deep Learning with Keras and Python] | ||
| − | Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation. | + | Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research. |
| + | |||
| + | Use Keras if you need a deep learning library that: | ||
| + | |||
| + | * Allows for easy and fast prototyping (through user friendliness, modularity, and extensibility). | ||
| + | * Supports both convolutional networks and recurrent networks, as well as combinations of the two. | ||
| + | * Runs seamlessly on CPU and GPU. | ||
<youtube>j_pJmXJwMLA</youtube> | <youtube>j_pJmXJwMLA</youtube> | ||
Revision as of 15:36, 24 June 2018
- TensorFlow
- Keras: The Python Deep Learning library
- How to build your own AlphaZero AI using Python and Keras
- Transfer Learning With Keras
YouTube Keras Series
Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.
Use Keras if you need a deep learning library that:
- Allows for easy and fast prototyping (through user friendliness, modularity, and extensibility).
- Supports both convolutional networks and recurrent networks, as well as combinations of the two.
- Runs seamlessly on CPU and GPU.
