Can you confirm the command to update to the theano dev version? I suppose
its not the same of the bleeding edge?

2016-08-21 16:44 GMT-03:00 Frédéric Bastien <[email protected]>:

> Just to be sure it is not a problem of mixed version. Can you update to
> Theano dev version with the old Lasagne version? There is so much change in
> it that I recommend to use it instead of the k Jay release.
>
> Le 21 août 2016 11:12, "André Lopes" <[email protected]> a écrit :
>
> Seems was lasagne fault. I reverted back theano to 0.8.1 and problem
> continued. I reverted back lasagne  to :
> pip install --upgrade --no-deps git+git://github.com/Lasagne/L
> asagne.git@5a009f98cb479c6c39157027de830a83462dabc0
>
> And no more "nan's"
>
> Sorry for the trouble. I posted on their forum
>
> 2016-08-21 9:45 GMT-03:00 Frédéric Bastien <[email protected]>:
>
>> If you used git to get Theano, try this command
>>
>> git revlog
>>
>> Or
>>
>> git reflog
>>
>> If you used pip, I don't know. Try the devN one after each other
>>
>> Le 20 août 2016 21:42, "André Lopes" <[email protected]> a écrit :
>>
>> Still happening. Im using nesterov momentum and starting with a high
>> learning rate.
>> Was working fine before i update, but now i dont know which version of
>> theano i was using. Probably dev1.
>>
>> Do you know if i can get it?
>> Im desperate, my research has halted because of it.
>>
>> 2016-08-20 22:26 GMT-03:00 Frédéric Bastien <[email protected]>:
>>
>>> Try the dev version of Theano. There is some stability upgrade.
>>>
>>> Fred
>>>
>>> Le 20 août 2016 08:48, "André Lopes" <[email protected]> a
>>> écrit :
>>>
>>>> Before i updated to theano 0.8.2, i could use learning rate at 0.05.
>>>> Now, i keep getting "nan's"
>>>>
>>>> Tried reinstalling and cleaned theano cache, but it wont help.
>>>>
>>>> Im wondering if its some new optimization that was added or fastmath
>>>> change?
>>>>
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