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 ...
《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...
这节里用代码演示一遍 Neural Networks and Deep Learning 这门课的核心思想,具体例子使用 Coursera 这门课 L 层 Neural Network 的例子。 可运行的源代码 kakage/Deep-Learninggithub.com/kakage/Deep-Learning 这里我们建造一个 L 层 Neural Network 的模型去判断图片是猫还是不是猫。 这个Neural Network 的...
进入第三周学习,回顾上周讲的logistic regression,一个输入经激活函数直接输出的neural network。 3.1 本周Andrew将加入一个hidden layer,即一个 shallow neural network。从最基本的知识开始讲解,见图1: 图1 图1 截屏来自:https://www.coursera.org/learn/neural-networks-deep-learning/lecture/qg83v/neural-netw...
【Neural Networks and Deep Learning2019吴恩达最新Coursera课程学习】——第一周—Introduction to deep learning,程序员大本营,技术文章内容聚合第一站。
Be able to explain the major trends driving the rise of deep learning, and understand where and how it is applied today. WEEK 2 Neural Networks Basics Learn to set up a machine learning problem with a neural network mindset. Learn to use vectorization to speed up your models. ...
吴恩达deeplearning.ai系列课程笔记+编程作业(2)第一课 神经网络和深度学习-第二周:神经网络的编程基础(Basics of Neural Network programming),程序员大本营,技术文章内容聚合第一站。
Neural Network Architecture Mathematical Optimization hyperparameter tuning Inductive Transfer If you want to become a Machine Learning expert in 2024 or just want to master the fundamentals of deep learning and break into AI this is the perfect Coursera certification to start with. It's also recentl...
Neural networks and deep learning - http://neuralnetworksanddeeplearning.com/ Deep Learning Nanodegree Udacity - https://www.udacity.com/course/deep-learning-nanodegree-foundation--nd101 Neural Networks and Deep Learning Coursera - https://www.coursera.org/learn/neural-networks-deep-learning...
3. General architecture of the learning algorithm Source:https://www.coursera.org/learn/neural-networks-deep-learning/home/welcome Mathematical expression of the algorithm For one example : The cost is then computed by summing over all training examples: ...