$[$Select all that apply$]$

Regarding the different Open Source Deep Learning Frameworks the following statements are correct.

Caffe $-$ Caffe supports a wide range of deep learning architectures, including CNN and LSTM$,$ it has been around for some time, is stable, and good for production, specializes in Natural Language Processing.

Theano $-$ Mainly used in combination with wrappers such as Keras, Lasagne, and Blocks, three high$-$level frameworks aimed at fast prototyping, unless you already have Theano implementations, you should analyze it carefully before starting projects with this framework.Chainer $-$ has a great deal of documentation, has been the inspiration for PyTorch, and looks promising, but is not growing as fast as TensorFlow.

Deeplearning$4$j $-$ is released under the Apache license and includes support for RBMs$,$ DBNs$,$ CNNs$,$ and RNNs$.$ Deeplearning$4$j also includes distributed parallel versions that work with Apache Hadoop and Spark.