Difference between revisions of "Keras"
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*[http://keras.io/ Keras: The Python Deep Learning library] | *[http://keras.io/ Keras: The Python Deep Learning library] | ||
*[[Keras.js]] | *[[Keras.js]] | ||
| − | + | *[[TensorFlow.js]] for training and deploying ML models in the browser and on Node.js (was called Deeplearnjs) | |
| − | |||
*[http://medium.com/applied-data-science/how-to-build-your-own-alphazero-ai-using-python-and-keras-7f664945c188 How to build your own AlphaZero AI using Python and Keras] | *[http://medium.com/applied-data-science/how-to-build-your-own-alphazero-ai-using-python-and-keras-7f664945c188 How to build your own AlphaZero AI using Python and Keras] | ||
*[[Transfer Learning With Keras]] | *[[Transfer Learning With Keras]] | ||
Revision as of 21:20, 7 August 2018
- TensorFlow
- Keras: The Python Deep Learning library
- Keras.js
- TensorFlow.js for training and deploying ML models in the browser and on Node.js (was called Deeplearnjs)
- How to build your own AlphaZero AI using Python and Keras
- Transfer Learning With Keras
- Git - GitHub and GitLab
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.
