with theano backend (CPU or GPU without cnDNN), I could train reproducible model by

fixed_seed_num=1234nunpy.random.seed(fixed_seed_num)random.seed(fixed_seed_num)# not sure if needed or not

While in pure tensorflow without keras wrapper, it could also be reproducible by

tersorflow.set_random_seed(fixed_seed_num)

Don't know why, but in Keras + tensorflow backend, non of the above could give reproducible training model.

Environment:

• Keras: v0.3.2
• tensorflow: v0.7.1
• Macbook OS X v10.11.4
• tensorflow is using CPU

BTW: it would be great if keras could expose an unified API for reproducible training. something like:

keras.set_random_seed(fixed_seed_num)