# Iván

Buenos Aires, Argenina

 2018 Jul 17 awarded Popular Question Apr 25 accepted find all usages of certain methods and functions in a python package Apr 25 comment find all usages of certain methods and functions in a python packageThank you very much for your answer! In general it seems that the code that you provided works great. However with some codes I am experiencing an error that I can not debug... Do you have any hint or idea of what it is causing it? Apr 24 comment find all usages of certain methods and functions in a python package@MartijnPieters I just edited my question a little bit, I think I was not precise enough. I want to find the lines where the functions/methods are called. Apr 24 revised find all usages of certain methods and functions in a python packagemore precise question Apr 24 asked find all usages of certain methods and functions in a python package Mar 20 awarded Student Jan 8 awarded Scholar Jan 8 accepted Unwanted space before commas in ModernCV Jan 8 awarded Student Jan 7 asked Unwanted space before commas in ModernCV Dec 13 comment Number of parameters keras dense layer with a 2D inputBut in that case how the dot product is performed? I mean, how to you perform the dot product when you have a 2D matrix? when is a 1D array is easy because is $$\vec{x}\dot\vec{w}$$ but when $x$ is 2D which dimension do you choose? Dec 13 asked Number of parameters keras dense layer with a 2D input Dec 10 revised Shape of 1D convolution output on a 2D data using kerasadded 487 characters in body Dec 10 comment Shape of 1D convolution output on a 2D data using kerasI understand the reduction from 128 to 119, but what I don't understand is why the feature dimension changes. For example, if I use Conv1D(filters = 1, kernel_size= 10, activation='relu'), then the output dimension is going to be (None, 119, 1), giving rise to only one feature after the convolution. What is going on in this dimension, which operation is performed to go from from 9 --> 1? Dec 10 answered Training multiple keras models and combining outputs to determine losses Dec 10 asked Shape of 1D convolution output on a 2D data using keras Oct 31 comment how many points do I need to uniquely determine a nonlinear monotonically increasing function?@EthanBolker Where I can find more info about your answer? Oct 31 comment how many points do I need to uniquely determine a nonlinear monotonically increasing function?@Federico $f(x;a_1, a_2)$ should verify that $f(0)=0$ since I also asked for that, and in that case I think that one point is enough to point will give the value of $a_1=a_2$ and then f(x)=0. However a constant function is not an increasing function I think. Oct 31 asked how many points do I need to uniquely determine a nonlinear monotonically increasing function?