TensorFlow NumPy This code defines a function that creates a random tensor with a specified shape using TensorFlow and prints out the tensor's shape and statistical information. The type of code 2024-12-16 12:17:55 27 views
TensorFlow NumPy This function accepts two NumPy matrices of the same shape as input, uses TensorFlow's addition operation to add these two matrices, and returns the result. Math 2024-12-16 12:15:30 8 views
TensorFlow NumPy The function generates a random tensor with a specified number of dimensions, used to test the random number generation feature in TensorFlow. The type of code 2024-12-16 12:15:20 9 views
Python TensorFlow This function takes two numpy arrays as input, converts them to tensors using TensorFlow, performs element-wise addition, and returns the sum. Python Function 2024-12-16 12:13:56 6 views
The packages This function is used to generate a random sequence with a specified length and dimension. The type of code 2024-12-16 12:13:23 8 views
TensorFlow NumPy This function generates a random tensor of the specified shape and data type, usually used for testing or data generation. The type of code 2024-12-16 12:13:12 6 views
TensorFlow NumPy This function takes two tensors as input, shuffles them, and then returns the sum of the elements. Function 2024-12-16 12:12:39 4 views
TensorFlow NumPy This function generates a random matrix with specified number of rows, columns, and value range. It uses TensorFlow library to generate the matrix and converts it to a NumPy array for further processing if needed. The type of code 2024-12-16 12:12:15 4 views
TensorFlow NumPy This function generates a random matrix of specified number of rows and columns using TensorFlow and NumPy. The type of code 2024-12-16 12:08:39 3 views
numpy pandas The code uses the random.rand function from the numpy library to generate a 10x10 random integer array, or uses the read_csv function from the pandas library to read a CSV file, or uses the pyplot.plot function from the matplotlib library to draw a simple chart, or uses the root_scalar function from the scipy library to solve the root of an equation, or uses the make_classification function from the sklearn library to generate a classification dataset, or uses the imread function from the opencv-python library to read an image, or uses the keras.Sequential model from the tensorflow library to create a simple neural network model, or uses the torch.randn function from the pytorch library to generate a random tensor. The type of code 2024-12-16 12:07:47 4 views
