numpy theano This function takes two integer arguments, generates a random matrix using numpy, converts it to a shared variable using Theano, computes the sum of all elements in the matrix, and returns it. Mathematical calculation function 2024-12-16 11:59:44 4 views
numpy theano This function takes two arguments, arg1 and arg2, generates a random matrix of shape (arg1, arg2), and uses Theano to compute the sum of all elements in the matrix. Function 2024-12-16 11:50:04 3 views
Theano NumPy This code implements a simple neural network training process using Theano library for forward propagation, loss calculation, and backpropagation weight updates. Neural network training 2024-12-16 11:40:20 3 views
numpy Theano This function first generates a random matrix using numpy, then converts it into a symbolic variable using Theano and performs element-wise operations on it. Finally, it compiles a Theano function to perform the operation and returns this function along with the generated random matrix. The type of code 2024-12-16 11:39:02 4 views
numpy theano This function generates a random matrix of specified shape and type, and performs matrix transpose using Theano. Function 2024-12-16 11:32:47 4 views
Theano NumPy This code defines a function that uses the Theano library to perform matrix multiplication. It accepts two matrices as input and returns their product. The type of code 2024-12-16 11:28:28 3 views
numpy scipy.stats This function takes two arguments, each is a tuple representing the number of rows and columns of a matrix. The function generates two random matrices, then converts them to tensors using the Theano library, and calculates the sum of the two tensors. The type of code 2024-12-16 11:23:21 4 views
Theano Theano.tensor This function accepts a matrix as input and returns its transpose. If the output shape is not specified, the transposed matrix will have the same shape as the input matrix. Function 2024-12-16 11:20:51 3 views
Theano Theano.tensor This function defines a simple neural network training process, including input layer, hidden layer, and output layer. It uses Theano library for forward propagation and loss calculation, and uses gradient descent for parameter optimization. Machine learning 2024-12-07 16:28:25 3 views
Theano NumPy This function uses the Theano library to perform matrix addition. It first defines two symbolic matrices, then creates a Theano function to perform the addition, and converts numpy arrays to Theano tensors for the computation. Mathematical operation function 2024-12-07 16:13:37 3 views
