PyTorch NumPy This code defines a random word generator function based on a Recurrent Neural Network (RNN). The function trains a model using a given corpus and then uses the model to generate a random word sequence of a specified length. The type of code 2024-12-16 12:17:43 27 views
PyTorch torchvision This code implements a simple PyTorch-based MNIST handwritten digit recognition model. It first defines data preprocessing and loading, then defines a simple convolutional neural network model, and then performs model training, including forward propagation, loss calculation, backpropagation, and parameter update. The type of code 2024-12-16 11:56:56 3 views
PyTorch PyTorch.nn This code defines a function based on PyTorch that randomly generates a neural network model and trains it using random data. The function accepts data and the number of training epochs as inputs. The type of code 2024-12-16 11:28:56 4 views
torch torch.nn This function generates a random tensor with a specified shape and ensures it runs on a GPU if available. The type of code 2024-12-16 11:26:35 3 views
torch torch.nn This function generates a random tensor with a specified shape and device. Function 2024-12-07 16:21:52 3 views
torch torch.nn This function generates a random linear regression dataset. The data points x follow a standard normal distribution, and y = 3x + 2 with some Gaussian noise. The dataset can be batched through DataLoader. Function to generate random linear regression dataset 2024-12-07 16:18:26 5 views
torch torch.nn This function generates a random tensor with a specified size and sum. It first creates a random tensor and then adjusts each element of the tensor to ensure that their sum is equal to the specified value. Function 2024-12-07 16:14:28 6 views
torch - This function generates a random tensor with a specified shape and data type. Function 2024-12-07 16:09:18 6 views
The package This code defines a function that takes two tensors as arguments and returns their element-wise sum. Function 2024-12-07 16:07:03 4 views
PyTorch torchvision This function defines a simple autoencoder model for data dimensionality reduction and reconstruction. The model consists of an encoder and a decoder, using fully connected layers and ReLU activation functions. Machine learning model 2024-12-07 16:04:14 4 views
