I am trying to test many ML models using keras.models.Sequential. My idea is that once I have an iterator that looks like [num_layers, num_units_per_layers], for example [(1, 64),(2, (64,128))], to create a script using a kind of for loop running the iterator to be able to create a keras sequential model with the number of layers and units in each
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I want to just move the zero’s to left and don’t want to sort the list. For example, if my list is like: Here’s the output which I desire after moving all the Zero’s to left: Here’s the code I tried: This code gives me output as: But my desired output is: Answer
The most robust way to work with the specific version of Tensorflow with GPU support
The project I am working on uses the Tensorflow 2.0, which is not the most recent version of this Deep Learning Framework and I would like to enable GPU support. I have already locally installed Tensorflow 2.4.1 for another purposes with CUDA-11.0. This version of Tensorflow sees the GPU on my PC and I can perform training and inference without
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On POSIX systems, after you fork(), data should only be copied to the child process after you write to it (copy on write). But because python stores the reference count in the object header, each time you iterate a list in the child process, it will copy it to its memory. Testing that with lists and other data structures, I
Translating a for loop from c# to python (ironpython) [closed]
Closed. This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 2 years ago. Improve this question I’m translating a chunk of code I have to use, from C# to Python. I’m not fluent in C#. How
Unable to run python file from terminal
I usually use PyCharm but, i was trying to run py extension file from terminal. I have already installed opencv-python. I tried pip3 install opencv-python also. Nonetheless, I am having the same issue. But, I am able to run those files from PyCharm. Answer It could be due to the fact that the terminal is using python2 version by default
how to get list of all variables in jinja 2 template file
I have a usecase where I want to get a list of unreferenced variables in a jinja2 template. I found some explanations on stackoverflow on how to do this, but not of these exaples use a file as a template, and I am very, very stuck Here is my code. Lines 8 and 9 can be omitted, ofc. here is
How does the statement for creating classes work in Python?
When I create a class Test defining one method “a”, a object Test, whose type is type ,is created. The dir function give-us the names of the attributes/methods of an object. But when I code: I get: from where did this “a” come from? I thought “a” would be a method from a object whose class is Test, but the
Sort Subplots (horizontal bar) based on a specified Rank Order
I have a subplot charted which has the categories that need to be displayed in a specific order. I’m working on the visual using PowerBI Python Script, so it looks like I’m unable to sort the dataframe as PowerBI does it automatically. In my dataset I have fruit_category, rnk, quantity_sold, forecast, goal, and stock quantity. The dataset should be ranked
Python: cache a local function variable for subsequent calls
In C/C++, a function can declare a local variable as static. When doing so, the value remains in memory and is available to subsequent calls to the function (this variable is no longer local, but that’s besides the point). Is there a way to do something similar in Python, without having to declare any global variable outside of the function?