Which version of keras should be used?

[KirillTim]

I have newest keras version installed Keras (2.0.1) and Theano (0.8.2) (while deeplift depend on theano >0.8)
No wonder, I have runtime exceptions about API mismatch:

 .....
/home/kirill/Desktop/deeplift/deeplift/conversion/keras_conversion.py in layer_name_to_conversion_function(layer_name)
    335     # lowercase to create resistance to capitalization changes
    336     # was a problem with previous Keras versions
--> 337     return name_dict[layer_name.lower()]
    338 
    339 

KeyError: 'conv1d'

I have very little experience with Keras and it seems that I can't fix this bug by myself :(
I think that easiest solution would be to add specific(no matter how old) Keras version to dependencies.
Could you, please, do it?

[KirillTim]

OMG, my bad.
I overlooked The original implementation of DeepLIFT uses a theano backend, but an alpha version of the tensorflow implementation (developed using tensorflow 0.12.0rc and Keras 1.1.2) line in README.md

[AvantiShri]

The README was written before Keras 2.0 was a thing, so it does need to be updated. Please let me know if you have any issues using Keras 1.x