MXNet This function accepts two arguments, arg1 and arg2, which define the dimensions of the random matrix to be generated. The function first generates a random matrix of shape (arg1, arg2), then uses MXNet's transpose function to transpose it, and finally returns the transposed matrix. Python Function 2024-12-16 12:18:03 44 views
MXNet This function generates a random matrix of specified rows and columns using the MXNet library. The type of code 2024-12-16 12:15:37 21 views
Python MXNet This function uses the MXNet library to generate two random 4x4 matrices and adds them. First, it generates random matrices using MXNet and Numpy, then converts them to MXNet NDArrays. Next, it adds the matrices using MXNet's addition operator and converts the result to a Numpy array to return. Python Function 2024-12-16 12:12:55 21 views
MXNet This function uses MXNet's nd.random module to generate a random matrix with a given shape, data type, and context. By default, it generates a random matrix with a normal distribution of mean 0 and standard deviation 1. The type of code 2024-12-16 12:12:52 20 views
MXNet This function generates a random matrix of specified number of rows and columns using the MXNet library. Python Function 2024-12-16 12:12:18 21 views
MXNet This function uses the MXNet library to generate two random matrices and add them together. Function 2024-12-16 12:10:49 15 views
MXNet scikit-learn This code defines a simple logistic regression classifier using MXNet and scikit-learn for training and prediction. First, it defines the MXNet model, then initializes the parameters, converts the input and label to MXNet's NDArray, uses the SGD optimizer to train, and finally predicts using the trained model. Machine Learning Classifier Training and Prediction 2024-12-16 12:08:55 25 views
MXNet NumPy This function uses MXNet's matrix multiplication feature, takes two arguments representing the dimensions of the matrix, then generates two random matrices for multiplication, and finally returns the product as a numpy array. The type of code 2024-12-16 12:08:44 21 views
MXNet NumPy This function generates two random matrices A and B using the MXNet library and then calculates their product. Matrix Multiplication Calculation 2024-12-16 12:07:24 6 views
