is a high-level open-source neural network library written in Python.
Keras was developed with the goal of enabling
experimentation with deep learning models.
Keras allows you to define, compile, and fit models in just a
of code, making it very user-friendly and easy to use
on top of other popular deep learning libraries, such as TensorFlow, Theano, and CNTK,
a wide range of neural network architectures, including CNN, RNN, and LSTM networks.
Keras includes a number of
, which are functions that can be used to monitor the training process and take action when certain conditions are met.
Keras has a large and active
, which contributes regularly to enable new features and capabilities
Everything about convolutional neural network(CNN)