How to Install and Uninstall python3-theano.noarch Package on Fedora 35

Last updated: November 30,2024

1. Install "python3-theano.noarch" package

In this section, we are going to explain the necessary steps to install python3-theano.noarch on Fedora 35


    
        
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                sudo dnf update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf install
            
                        
                python3-theano.noarch
            
                    
    
    Copied

2. Uninstall "python3-theano.noarch" package

Please follow the steps below to uninstall python3-theano.noarch on Fedora 35:


    
        
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                sudo dnf remove
            
                        
                python3-theano.noarch
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the python3-theano.noarch package on Fedora 35

Last metadata expiration check: 1:40:58 ago on Wed Sep 7 14:25:02 2022.
Available Packages
Name : python3-theano
Version : 1.1.2
Release : 2.fc35
Architecture : noarch
Size : 2.0 M
Source : python-theano-1.1.2-2.fc35.src.rpm
Repository : fedora
Summary : Mathematical expressions involving multidimensional arrays
URL : https://docs.pymc.io/PyMC3_and_Theano.html
License : BSD
Description : Theano is a Python library that allows you to define, optimize, and
: evaluate mathematical expressions involving multi-dimensional arrays
: efficiently. Theano features:
: - tight integration with NumPy: Use numpy.ndarray in Theano-compiled
: functions.
: - transparent use of a GPU: Perform data-intensive calculations up to
: 140x faster than with CPU (float32 only).
: - efficient symbolic differentiation: Theano does your derivatives for
: function with one or many inputs.
: - speed and stability optimizations: Get the right answer for log(1+x)
: even when x is really tiny.
: - dynamic C code generation: Evaluate expressions faster.
: - extensive unit-testing and self-verification: Detect and diagnose many
: types of mistake.