Machine Learning with Neural Networks

Machine Learning with Neural Networks

本课程是 Practical Machine Learning: Foundations to Neural Networks 专项课程的一部分

位教师：Peter Chin

包含在中

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7个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

4 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

7个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

4 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

How to build and train neural networks with backpropagation and regularization, and model predictive uncertainty using Bayesian neural networks.

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要了解的详细信息

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本课程是 Practical Machine Learning: Foundations to Neural Networks 专项课程专项课程的一部分

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该课程共有7个模块

This course explores the principles of machine learning through the lens of one of its most powerful and versatile model classes: the artificial neural network. We will cover the fundamental machine learning concepts of modeling, training, and generalization. You will learn how to process the input data with feed-forward operations, how to train a neural network model using gradient-based optimization and the backpropagation algorithm, and how to ensure it performs well on new data using regularization. In the final module, we discuss Bayesian neural networks, learning how to build models that not only make predictions but also quantify their own uncertainty.

涵盖的内容

1个视频1篇阅读材料

涵盖的内容

4个视频1篇阅读材料4个作业

4个视频总计27分钟

Feed-Forward Network Functions - Part 14分钟
Feed-Forward Network Functions - Part 210分钟
Feed-Forward Network Functions - Part 35分钟
Feed-Forward Network Functions - Part 47分钟

1篇阅读材料总计10分钟

Module Overview: Feed-Forward Network Functions 10分钟

4个作业总计45分钟

Feed-Forward Network Functions - Part 110分钟
Feed-Forward Network Functions - Part 210分钟
Feed-Forward Network Functions - Part 310分钟
Feed-Forward Network Functions - Part 415分钟

涵盖的内容

5个视频2篇阅读材料6个作业3个非评分实验室

5个视频总计32分钟

Error Backpropagation Algorithm - Part 112分钟
Error Backpropagation Algorithm - Part 24分钟
Error Backpropagation Algorithm - Part 36分钟
Error Backpropagation Algorithm - Part 46分钟
Error Backpropagation Algorithm - Part 52分钟

2篇阅读材料总计25分钟

Module Overview: Error Backpropagation Algorithm10分钟
Lab Overview: Feed-Forward Network Functions (Read First!)15分钟

6个作业总计95分钟

Error Backpropagation Algorithm - Part 110分钟
Error Backpropagation Algorithm - Part 210分钟
Error Backpropagation Algorithm - Part 310分钟
Error Backpropagation Algorithm - Part 415分钟
Implementing a 2-Layer Neural Network By Hand - Part 230分钟
Feed-Forward Network Functions Lab - Part 220分钟

3个非评分实验室总计560分钟

Implementing a 2-Layer Neural Network By Hand - Part 1240分钟
Feed-Forward Network Functions Lab - Part 1300分钟
Feed-Forward Network Functions Lab - Solution20分钟

涵盖的内容

6个视频2篇阅读材料7个作业2个非评分实验室

6个视频总计52分钟

Regularization in Neural Networks - Part 1A7分钟
Regularization in Neural Networks - Part 1B6分钟
Regularization in Neural Networks - Part 1C10分钟
Regularization in Neural Networks - Part 2A4分钟
Regularization in Neural Networks - Part 2B5分钟
Regularization in Neural Networks - Part 317分钟

2篇阅读材料总计25分钟

Module Overview: Regularization in Neural Networks10分钟
Lab Overview: Regularization in Neural Networks (Read First!)15分钟

7个作业总计80分钟

Regularization in Neural Networks - Part 1A10分钟
Regularization in Neural Networks - Part 1B10分钟
Regularization in Neural Networks - Part 1C10分钟
Regularization in Neural Networks - Part 2A10分钟
Regularization in Neural Networks - Part 2B10分钟
Regularization in Neural Networks - Part 310分钟
Regularization in Neural Networks Lab - Part 220分钟

2个非评分实验室总计320分钟

Regularization in Neural Networks Lab - Part 1300分钟
Regularization in Neural Networks Lab - Solution20分钟

涵盖的内容

5个视频2篇阅读材料6个作业2个非评分实验室

5个视频总计35分钟

Bayesian Neural Network for Regression - Part 110分钟
Bayesian Neural Network for Regression - Part 29分钟
Bayesian Neural Network for Regression - Part 35分钟
Bayesian Neural Network for Regression - Part 43分钟
Bayesian Neural Network for Regression - Part 56分钟

2篇阅读材料总计20分钟

Module Overview: Bayesian Neural Networks for Regression10分钟
Lab Overview: Bayesian Neural Network for Regression (Read First!)10分钟

6个作业总计70分钟

Bayesian Neural Network for Regression - Part 110分钟
Bayesian Neural Network for Regression - Part 210分钟
Bayesian Neural Network for Regression - Part 310分钟
Bayesian Neural Network for Regression - Part 410分钟
Bayesian Neural Network for Regression - Part 510分钟
Bayesian Neural Network for Regression Lab - Part 220分钟

2个非评分实验室总计320分钟

Bayesian Neural Network for Regression Lab - Part 1300分钟
Bayesian Neural Network for Regression Lab - Solution20分钟

涵盖的内容

1篇阅读材料1个作业3个非评分实验室

1篇阅读材料总计10分钟

Module Overview: Implementing Neural Networks with TensorFlow10分钟

1个作业总计30分钟

Implementing Neural Networks with TensorFlow - Part 330分钟

3个非评分实验室总计390分钟

Implementing Neural Networks with TensorFlow - Part 160分钟
Implementing Neural Networks with TensorFlow - Part 2300分钟
Implementing Neural Networks with TensorFlow - One Solution30分钟

涵盖的内容

1篇阅读材料1个作业

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位教师

Peter Chin

Dartmouth College

4 门课程295 名学生

提供方

Dartmouth College

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