更新参数:根据求出来的导数的值来更新模型参数:parameters = update_parameters(parameters, grads, learning_rate) defL_layer_model(X,Y,layers_dims,learning_rate=0.0075,num_iterations=3000,print_cost=False):#lr was 0.009"""Implements a L-layer neural network: [LINEAR->RELU]*(L-1)->LINEAR->SIGM...
Coursera 深度学习笔记 I.Neural Networks and Deep learning-01介绍,程序员大本营,技术文章内容聚合第一站。
《Neural Networks and Deep Learning》课程笔记 # Lesson 1 Neural Network and Deep Learning 这篇文章其实是 Coursera 上吴恩达老师的深度学习专业课程的第一门课程的课程笔记。 参考了其他人的笔记继续归纳的。 逻辑回归 (Logistic Regression)# 逻辑回归的定义# 神经网络的训练过程可以分为前向传播(forward propaga...
One common preprocessing step in machine learning is to center and standardize your dataset, meaning that you substract the mean of the whole numpy array from each example, and then divide each example by the standard deviation of the whole numpy array. But for picture datasets, it is simpler ...
deeplearning.ai 是机器学习领域大牛Andrew Ng在Coursera上公布的新的深度学习的课程,相比之前机器学习的课程,本课程更偏重于深度学习的领域。 本文是课程一《Neural Networks and Deep Learning》的第三周笔记,上周我们给大家介绍了Logistic Regression,从本周开始,我们将正式开始学习神经网络,我们先从只有一个隐藏层的...
课程一(Neural Networks and Deep Learning),第二周(Introduction to Deep Learning)—— 2、10个测验题,程序员大本营,技术文章内容聚合第一站。
deeplearning.ai 是机器学习领域大牛Andrew Ng在Coursera上公布的新的深度学习的课程,相比之前机器学习的课程,本课程更偏重于深度学习的领域。 本文是课程一《Neural Networks and Deep Learning》的第四周笔记,上周给大家介绍了Shallow Neural Networks,本周我们将为大家介绍Deep Neural Networks。
via:Neural Networks and Deep Learning | Coursera 阿特:好像有点明白了,让机器自己学习中间隐藏起来看不见的「规律」! 阿扣:再举个例子,图像识别是深度学习最广泛的应用之一,我们给系统看一张图,它能告诉我们这张图里有没有汪星人: 阿特:哇,原来机器在背后做了这么多事情,我还以为机器都很聪明呢,原来它们只...
阿特:哇,原来机器在背后做了这么多事情,我还以为机器都很聪明呢,原来它们只是比较勤奋哈哈哈 阿扣:你得到了它~ Ref Neural networks and deep learning Deep Learning Nanodegree | Udacity Neural Networks and Deep Learning | Coursera
Neural Networks and Deep Learning This is the first course of the deep learning specialization at Coursera which is moderated by moderated by DeepLearning.ai. The course is taught by Andrew Ng. Introduction to deep learning Be able to explain the major trends driving the rise of deep learning,...