x_array = sess.run(x_vals) plt.plot(x_array, l2_y_out, 'b-', label='L2 Loss') plt.plot(x_array, l1_y_out, 'r--', label='L1 Loss') plt.plot(x_array, phuber1_y_out, 'k-.', label='P-Huber Loss (0.25)') plt.plot(x_array, phuber2_y_out, 'g:', label='P-H...
1. 使用 TensorFlow 自动微分求解简单线性回归的参数(w, b) 1#载入库2importnumpy as np3importtensorflow as tf4importmatplotlib.pyplot as plt5plt.ion()678#定义损失函数为均方误差MSE=(sum(y-y0)^2)/n9defloss(y, y_pred):10#tf.reduce_mean 函数用于计算张量tensor沿着指定的数轴上的的平均值11return...
elif regression_type == 'Ridge': # Declare the Ridge loss function # Ridge loss = L2_loss + L2 norm of slope ridge_param = tf.constant(1.) ridge_loss = tf.reduce_mean(tf.square(A)) loss = tf.expand_dims(tf.add(tf.reduce_mean(tf.square(y_target - model_output)), tf.multiply...
我们一眼就能看出这是个5,接下来我们利用tensorflow训练模型来实现机器对其的分类,这里因为是初探tensorflow的演示,故不选择进阶的复杂模型,而是采用softmax regression算法,这是一个经典的处理多分类问题的算法,softmax函数会对每一种类别输出的概率进行估算,然后选取其中最大的那个作为正式输出,是神经网络中多分类模型的...
layers: contains high level layers for building models using tensorflow. 包含使用tensorflow建立模型的high level layers learning: contains routines for training models. 包含训练模型的程序 losses: contains commonly used loss functions. 包含常用的损失函数 ...
import * as tf from '@tensorflow/tfjs'; // Define a model for linear regression. const model = tf.sequential(); model.add(tf.layers.dense({units: 1, inputShape: [1]})); // Prepare the model for training: Specify the loss and the optimizer. model.compile({loss: 'meanSquaredError...
loss = tf.reduce_mean(tf.square(y_actual - y_pred)) 初始化和训练模型:现在我们已经完成了所有工作,我们需要创建图实例,通过占位符输入数据,让 TensorFlow 更改变量以更好地预测我们的训练数据。这是初始化计算图的一种方法: 代码语言:javascript 复制 with tf.Session(graph=graph) as session: ... sess...
# Logistic Regression classifier = estimator.SKCompat(learn.LinearClassifier( feature_columns = feature_columns, n_classes=5)) 要进行训练,只需要一行。 调用classifier.fit并输入数据(当然是经过调整的形状),输出标签(请注意,这些标签不必是一字不漏的格式)以及其他一些参数。 steps参数确定模型将查看多少批次,...
Loss functions— for classificationsparse_categorical_crossentropyvscategorical_crossentropy, which one should you use? Ways to improve a model— if your model isn't performing as well as it should, what can you do? Questions Can I use external resources (Google, Stack Overflow, TensorFlow docume...
1.Basic regression: Predict fuel efficiency 基本回归: 预测燃油效率 (这是tensorflow官网的一个例子,我们进一步剖析) In a regression problem, the aim is to predict the output of a continuous value, like a price or a probability. 在回归问题中,目的是预测一个连续值的输出,如价格或概率。 Contrast...