What is Keras?.
Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. Keras provides scikit-learn type API (written in Python) which help developers to quickly build neural networks without the mathematical aspect’s tensor algebra, numerical techniques and optimization methods. It was developed with a focus on enabling fast experimentation, it is compact, easier to debug and provides extensible flexibility.
Maintained by | License Type | Popular Examples | Support | Updates | Developer Skills |
---|---|---|---|---|---|
Keras team | MIT | – | keras.io | – | Python |
Often Compared to | Testing | Accessibility | Maintained by | Repository |
---|---|---|---|---|
Tensorflow, Pytorch | – | – | Keras team | github.com/keras-team/keras |
Pros:
- Allows 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.
Cons:
- Doesn’t provide as many functionalities as compared to other few technologies, and ensures less control over the network.