【Deep Learning Nanodegree Foundation笔记】第 0 课：课程计划

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【Deep Learning Nanodegree Foundation笔记】第 1 课：INTRODUCTION Welcome

Welcome to the Deep Learning Nanodegree Foundations Program! In this lesson, you'll meet your instructors, find out about the field of Deep Learning, and learn how to make the most of the resources Udacity provides. Program Structure Every week, you…

【Deep Learning Nanodegree Foundation笔记】第 10 课：Sentiment Analysis with Andrew Trask

In this lesson, Andrew Trask, the author of Grokking Deep Learning, will walk you through using neural networks for sentiment analysis. In particular, you'll build a network that classifies movie reviews as positive or negative just based on their te…

【Deep Learning Nanodegree Foundation笔记】第 0 课：课程计划

第一周机器学习的类型,以及何时使用机器学习我们将首先简单介绍线性回归和机器学习.这将让你熟悉这些领域的常用术语,你需要了解的技术进展,并了解深度学习在更大的机器学习背景中的位置. 直播:线性回归 WEEK 1Types of Machine Learning and when to use Machine LearningLive session: Linear regression from scratch 第二周神经网络的架构和类型然后,我们将深入探索神经网络,并了解各种规范架构,如…

【Deep Learning Nanodegree Foundation笔记】第 7 课：NEURAL NETWORKS Intro to Neural Networks

In this lesson, you'll dive deeper into the intuition behind Logistic Regression and Neural Networks. You'll also implement gradient descent and backpropagation in python right here in the classroom. 我们以这条线为模型,每当接到新的学生申请,我们把他们的成绩画在坐标图上如果数据点是在这条线的上方,…

【Deep Learning Nanodegree Foundation笔记】第 5 课：Logistic Regression

Learn about linear regression and logistic regression models. These simple machine learning models are the building blocks of neural networks. Environment In the upcoming video, Siraj will be implementing linear regression in Python. If you'd like to…

【Deep Learning Nanodegree Foundation笔记】第 9 课：Model Evaluation and Validation

In this lesson, you'll learn some of the basics of training models. You'll learn the power of testing and cross validation, and some interesting metrics to evaluate models, such as accuracy or R2 score. How to create a test set for your models. How t…

【【Deep Learning Nanodegree Foundation笔记】第 0 课：课程计划】的更多相关文章

【Deep Learning Nanodegree Foundation笔记】第 1 课：INTRODUCTION Welcome

【Deep Learning Nanodegree Foundation笔记】第 10 课：Sentiment Analysis with Andrew Trask

【Deep Learning Nanodegree Foundation笔记】第 0 课：课程计划

【Deep Learning Nanodegree Foundation笔记】第 7 课：NEURAL NETWORKS Intro to Neural Networks

【Deep Learning Nanodegree Foundation笔记】第 5 课：Logistic Regression

【Deep Learning Nanodegree Foundation笔记】第 9 课：Model Evaluation and Validation

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