TensorFlow机器学习实战指南——山鸢尾花分类

import numpy as np

import tensorflow as tf

import matplotlib.pyplot as plt

from sklearn import datasets

sess = tf.Session()

iris = datasets.load_iris()

binary_target = np.array([1.0 if x ==0 else 0. for x in iris.target])

iris_2d = np.array([[x[2], x[3]] for x in iris.data])

batch_size = 20

x1_data = tf.placeholder(shape=[None, 1], dtype=tf.float32)

x2_data = tf.placeholder(shape=[None, 1], dtype=tf.float32)

y_target = tf.placeholder(shape=[None, 1], dtype=tf.float32)

A = tf.Variable(tf.random_normal(shape=[1, 1]))

b = tf.Variable(tf.random_normal(shape=[1, 1]))

my_mult = tf.matmul(x2_data, A)

my_add = tf.add(my_mult, b)

my_output = tf.subtract(x1_data, my_add)

xentropy = tf.nn.sigmoid_cross_entropy_with_logits(logits=my_output, labels=y_target)

my_opt = tf.train.GradientDescentOptimizer(0.05)

train_step = my_opt.minimize(xentropy)

i

相关知识

TensorFlow机器学习实战指南——山鸢尾花分类
深度学习之基于Tensorflow卷积神经网络花卉识别系统
基于深度学习和迁移学习的识花实践
深度学习机器学习卷积神经网络的花卉识别花种类识别
花卉识别(tensorflow)
基于tensorflow的花卉识别
用Python识别花卉种类，并自动整理分类！
python利用c4.5决策树对鸢尾花卉数据集进行分类（iris）
colab cnn实现花卉图片分类识别
基于深度学习的花卉识别研究

原文链接: TensorFlow机器学习实战指南——山鸢尾花分类 https://www.huajiangbk.com/newsview37006.html