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Machine Learning with Neural Networks · LearnSpace
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courseraПрограммирование

Machine Learning with Neural Networks

Курс от Dartmouth College
Средний≈ 36.9 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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.

Навыки, которые вы освоите

Artificial Neural NetworksBayesian NetworkTensorflowNetwork ArchitectureModel OptimizationMachine LearningModel TrainingMachine Learning AlgorithmsDeep LearningMachine Learning MethodsProbability DistributionModel EvaluationConvolutional Neural NetworksApplied Machine LearningBayesian Statistics

Программа курса

7 модулей · 66 учебных материалов

01Course Overview2 материалов

Course Orientation

Course OverviewЧтениеIntroduction to Machine LearningВидео
02Feed-Forward Network Functions9 материалов

Feed-Forward Network Functions

Module Overview: Feed-Forward Network Functions Чтение

Учитесь у экспертов

Peter Chin

Professor of Engineering

Machine Learning with Neural Networks
В каталоге вашей программы

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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 36.9 ч

7 модулей

Язык: Английский

Часть программы вашего университета
Feed-Forward Network Functions - Part 1Видео
Feed-Forward Network Functions - Part 1Задание
Feed-Forward Network Functions - Part 2Видео
Feed-Forward Network Functions - Part 2Задание
Feed-Forward Network Functions - Part 3Видео
Feed-Forward Network Functions - Part 3Задание
Feed-Forward Network Functions - Part 4Видео
Feed-Forward Network Functions - Part 4Задание
03Error Backpropagation Algorithm16 материалов
Module Overview: Error Backpropagation AlgorithmЧтениеError Backpropagation Algorithm - Part 1ВидеоError Backpropagation Algorithm - Part 1ЗаданиеError Backpropagation Algorithm - Part 2ВидеоError Backpropagation Algorithm - Part 2ЗаданиеError Backpropagation Algorithm - Part 3ВидеоError Backpropagation Algorithm - Part 3ЗаданиеError Backpropagation Algorithm - Part 4ВидеоError Backpropagation Algorithm - Part 4ЗаданиеError Backpropagation Algorithm - Part 5ВидеоImplementing a 2-Layer Neural Network By Hand - Part 1ЛабораторнаяImplementing a 2-Layer Neural Network By Hand - Part 2ЗаданиеLab Overview: Feed-Forward Network Functions (Read First!)ЧтениеFeed-Forward Network Functions Lab - Part 1ЛабораторнаяFeed-Forward Network Functions Lab - Part 2ЗаданиеFeed-Forward Network Functions Lab - SolutionЛабораторная
04Regularization in Neural Networks 17 материалов

Module Overview

Module Overview: Regularization in Neural NetworksЧтение

Regularization in Neural Networks - Part 1

Regularization in Neural Networks - Part 1AВидеоRegularization in Neural Networks - Part 1AЗаданиеRegularization in Neural Networks - Part 1BВидеоRegularization in Neural Networks - Part 1BЗаданиеRegularization in Neural Networks - Part 1CВидеоRegularization in Neural Networks - Part 1CЗадание

Regularization in Neural Networks - Part 2

Regularization in Neural Networks - Part 2AВидеоRegularization in Neural Networks - Part 2AЗаданиеRegularization in Neural Networks - Part 2BВидеоRegularization in Neural Networks - Part 2BЗадание

Regularization in Neural Networks - Part 3

Regularization in Neural Networks - Part 3ВидеоRegularization in Neural Networks - Part 3ЗаданиеLab Overview: Regularization in Neural Networks (Read First!)ЧтениеRegularization in Neural Networks Lab - Part 1ЛабораторнаяRegularization in Neural Networks Lab - Part 2ЗаданиеRegularization in Neural Networks Lab - SolutionЛабораторная
05Bayesian Neural Networks for Regression15 материалов
Module Overview: Bayesian Neural Networks for RegressionЧтениеBayesian Neural Network for Regression - Part 1ВидеоBayesian Neural Network for Regression - Part 1ЗаданиеBayesian Neural Network for Regression - Part 2ВидеоBayesian Neural Network for Regression - Part 2ЗаданиеBayesian Neural Network for Regression - Part 3ВидеоBayesian Neural Network for Regression - Part 3ЗаданиеBayesian Neural Network for Regression - Part 4ВидеоBayesian Neural Network for Regression - Part 4ЗаданиеBayesian Neural Network for Regression - Part 5ВидеоBayesian Neural Network for Regression - Part 5ЗаданиеLab Overview: Bayesian Neural Network for Regression (Read First!)ЧтениеBayesian Neural Network for Regression Lab - Part 1ЛабораторнаяBayesian Neural Network for Regression Lab - Part 2ЗаданиеBayesian Neural Network for Regression Lab - SolutionЛабораторная
06Implementing Neural Networks With TensorFlow5 материалов
Module Overview: Implementing Neural Networks with TensorFlowЧтениеImplementing Neural Networks with TensorFlow - Part 1ЛабораторнаяImplementing Neural Networks with TensorFlow - Part 2ЛабораторнаяImplementing Neural Networks with TensorFlow - Part 3ЗаданиеImplementing Neural Networks with TensorFlow - One SolutionЛабораторная
07Course Wrap-Up2 материалов
Course ReflectionЗаданиеCourse Wrap-up and Next StepsЧтение