import matplotlib.pyplot as plt. import numpy as np. def generate_exponential_data(): """ 生成指数数据。这里我们假设数据代表时间序列上的某种增长现象, 时间范围从0到10,共100个时间点。 return: 包含时间和对应增长值的元组。 """ time_values = np.linspace(0, 10, 100). growth_values = 10 ti...
今天的目标是实现一个Dense隐藏层网络,来实现一个二分类器。 数据实例 Contentshide 1数据实例 2神经网络的基本要素 3测试 4其他SemiFlow文章 首先我们从一个分类问题开始。我们对同方差不同均值的两个二维高斯分布进行抽样,生成两簇数量各是200的数据集。 import numpy as np import matplotlib.pyplot as plt from...
import dgl import numpy as np import networkx as nx import torch import torch.nn as nn import torch.nn.functional as F from dgl.nn.pytorch import GraphConv import itertools import matplotlib.pyplot as plt def build_karate_club_graph(): src = np.array([1, 2, 2, 3, 3, 3, 4, 5, ...
• Plots and figures using the matplotlib libraries. • Graph analysis using the python networkx libraries. E.8 R R is a contemporary statistical analysis package. The R Project. (www.r-project.org) E.9 C/C++ Status Current work is increasing use of C++ container classes and iterators ...
The project requiresscikit-learn,matplotlibandNLoptto run. Usage example: # load `Lung cancer' dataset from mldata.orgcancer=fetch_mldata("Lung cancer (Ontario)")X=cancer.target.Tytrue=np.copy(cancer.data).flatten()ytrue[ytrue>0]=1# label a few pointslabeled_N=4ys=np.array([-1]*len...
from matplotlib import pyplot from keras import backend # custom activation function def custom_activation(output): logexpsum = backend.sum(backend.exp(output), axis=-1, keepdims=True) result = logexpsum / (logexpsum + 1.0) return result # define the standalone supervised and unsupervised dis...
b comparison of the hazard factor values with different hazard intensities, where the violin plot indicates the median (middle line), maximum (upper line) and minimum (lower line) hazard factor values, “ws” refers to the intensity of wind shear, and “turb” stands for the turbulence intens...
frommatplotlibimportpyplotasplt # 超参数设置 x_height,x_width=[28,28] num_channels=1 num_classes=10 latent_size=100 labeled_rate=0.1 # 设置训练参数保存和模型保存的路径 log_path='./SS_GAN_log.csv' model_path='./SS_GAN_model.ckpt' ...
vertex points to form a polygon shape. For doppler and m-mode echocardiograms, masks were drawn around the general shape of the waveforms and field of view. The labeling tool is an interactive polygon editor built with matplotlib that sets pixels inside the mask to 1 and pixels outside to ...
matplotlib>=3.0.0 Installation Install TensorFlow If you have an Nvidia GPU, be sure to install a version of TensorFlow that supports it first -- DISC runs much faster with GPU: pip install "tensorflow-gpu>= 1.13.1,<2.0.0" We typically tensorflow-gpu==1.13.1. ...