Python

    
def mse_loss_grad(y, t):
    loss_ = np.sum(np.subtract(t-y))*(2/y.shape[0])
    
    print("Derivative MSE: ".format(loss_)

PREVIOUS	NEXT

Code Example
Python :: how to import ui file in pyside
Python :: permutation and combination in python
Python :: importing a python file from another folder
Python :: activate venv environment
Python :: get diagonals of 2d array
Python :: how to search for an item in a list in python
Python :: scale values in 0 100 python
Python :: df shape
Python :: make django admin page text box smaller
Python :: algebraic pyramid python
Python :: turtle screen
Python :: channel unhiding command in discord.py
Python :: import combination
Python :: python np array get dimantion
Python :: compare two data frames in assert
Python :: split string with first numerical value in python
Python :: end without space in python
Python :: how to do formatting in python with format function
Python :: python hello world jenkins
Python :: foreign key django createview
Python :: django serializer get image list
Python :: float error python
Python :: recall at k calculate python
Python :: set pop in python
Python :: how to split strings in python
Python :: python game github
Python :: python not equal to
Python :: how to open youtube from google chrome browser instead of internet explorerwhen coding in python
Python :: how to display items on a list on new lines python
Python :: how to access a file from root folder in python project