I am a beginner in deep learning. Objective is to implement an application based on Activity Recognition on Jetson TX1 module. I found out Caffe, Torch, Theano and Tensorflow are the most widely used deep-learning frameworks currently. planning to use the inbuilt TensorRT package on Jetson TX1 for inference.
Right now i am confused with the selection of framework. Tensorflow is growing rapidly but i am concerned about its stability issues at each version release. I understand it is supported by Google and will have great importance in future. Caffe is mainly focussing on image processing applications. Even though many applicatiions are implemented in Jetson TX1 using caffe, latest forums are talking more about torch and theano as better options. Theano with Keras is also a good option but debugging takes a lot of time and it is difficult to find out the problem. Torch can be debugged easily and has good support but Lua language is completely new for me. I also need to decide which nueral network - CNN or RNN suits best for me.
Considering all the above factors above ,please suggest the best framework that can be selected.