python = 3.6 pytorch = 0.4.1 torchvision = 0.2.1 matplotlib = 2.2.2 numpy = 1.14.3 scipy = 1.1.0 Network parameters batch_size = 256 max epochs = 100 learning rate = 0.1 (0.01 at epoch 50 and 0.001 at epoch 65) SGD with momentum = 0.9 ...
deep-learningpytorchnatural-language-generationvariational-inferencelatent-variable-modelsgumbel-softmaxdata-to-text-generation UpdatedApr 25, 2022 Python Implementation of the Gumbel-Sigmoid distribution in PyTorch. pytorchgumbel-softmaxgumbel-distributionreparameterization-trickstraight-through-gradientgumbel-sigmoi...
softmax的PyTorch实现 # 加载各种包或者模块 import torch from torch import nn from torch.nn import init import numpy as np import sys sys.path.append("/home/kesci/input") import d2lzh as d2l print(torch.__version__) 1.4.0 初始化参数和获取数据 batch_size = 256 train_iter, test_iter ...