Deep Learning Nanodegree Foundation - 随笔分类 - CusterFun

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

摘要：In this lesson, Andrew Trask, the author of Grokking Deep Learning, will walk you through using neural networks for sentiment analysis. In particular, 阅读全文

posted @ 2017-02-07 16:20 CusterFun 阅读(544) 评论(0) 推荐(0)

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

摘要：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 metri 阅读全文

posted @ 2017-02-06 16:05 CusterFun 阅读(232) 评论(0) 推荐(0)

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

摘要：Learn about linear regression and logistic regression models. These simple machine learning models are the building blocks of neural networks. Environ 阅读全文

posted @ 2017-02-06 13:03 CusterFun 阅读(230) 评论(0) 推荐(0)

【Deep Learning Nanodegree Foundation笔记】第 2 课：INTRODUCTION Anaconda

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posted @ 2017-02-05 13:09 CusterFun 阅读(1) 评论(0) 推荐(0)

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

摘要：Welcome to the Deep Learning Nanodegree Foundations Program! In this lesson, you'll meet your instructors, find out about the field of Deep Learning, 阅读全文

posted @ 2017-02-05 11:15 CusterFun 阅读(284) 评论(0) 推荐(0)

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

摘要：In this lesson, you'll dive deeper into the intuition behind Logistic Regression and Neural Networks. You'll also implement gradient descent and backp 阅读全文

posted @ 2017-01-29 14:10 CusterFun 阅读(365) 评论(0) 推荐(0)

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

摘要：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 Ma 阅读全文

posted @ 2017-01-25 10:07 CusterFun 阅读(585) 评论(0) 推荐(0)

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随笔分类 - Deep Learning Nanodegree Foundation

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