Keras

Until we have IDEs that can make an interpretation of our idea into code, I don't think making Deep Learning models could be made a lot simpler.

It's makes the process easy for building the Neural Network.

Doesn't require to have strong background in Deep Learning.

Easy to use. We can implement neural networks easily.

There is a lot of built-in utility that makes the task easier.

It also supports TensorFlow.

Performs well when you are doing some implementation which requires neural network implementation and some other deep learning models

It has lots of inbuilt tools which you can have clean your data before processing

It supports TensorFlow as its backend, so it can easily use GPU

One of the reason to use Keras is that it is easy to use. Implementing neural network is very easy in this, with just one line of code we can add one layer in the neural network with all it's configurations.

It provides lot of inbuilt thing like cov2d, conv2D, maxPooling layers. So it makes fast development as you don't need to write everything on your own. It comes with lot of data processing libraries in it like one hot encoder which also makes your development easy and fast.

It also provides functionality to develop models on mobile device.

Implementing neural networks and deep learning models is easy with this.

Data processing is easy with Python and Keras. Keras helps a lot and has a good collection of functions to do data processing.

It has good integration with other devices like Android.