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Neural Networks and Deep Learning · LearnSpace
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Neural Networks and Deep Learning

Курс от DeepLearning.AI
Средний≈ 24.6 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. By the end, you will be familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI.

Навыки, которые вы освоите

Artificial Neural NetworksDeep LearningArtificial Intelligence and Machine Learning (AI/ML)Python ProgrammingConvolutional Neural NetworksArtificial IntelligenceMachine Learning MethodsApplied Machine LearningSupervised LearningModel OptimizationModel Training

Программа курса

4 модулей · 71 учебных материалов

01Introduction to Deep Learning11 материалов

Welcome to the Deep Learning Specialization

WelcomeВидео

Introduction to Deep Learning

What is a Neural Network?ВидеоSupervised Learning with Neural NetworksВидеоWhy is Deep Learning taking off?Видео

Учитесь у экспертов

Andrew Ng

Instructor

Kian Katanforoosh

Senior Curriculum Developer

Younes Bensouda Mourri

Curriculum developer

Neural Networks and Deep Learning
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Обучение на Coursera

≈ 24.6 ч

4 модулей

Язык: Английский

Субтитры: Китайский (Тайвань), Арабский, Французский, Бенгальский, Узбекский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Ория, Немецкий, Пушту, Урду, Русский, Тайский, Индонезийский, Шведский, Турецкий, Азербайджанский, Испанский, Дари, Хинди, Японский, Казахский, Венгерский, Польский

Часть программы вашего университета
About this CourseВидео
Intake SurveyВнешний инструмент
Join the DeepLearning.AI Forum to ask questions, get support, or share amazing ideas!Чтение
Frequently Asked QuestionsЧтение

Lecture Notes (Optional)

Lecture Notes W1Чтение

Quiz

Introduction to Deep Learning Задание

Heroes of Deep Learning (Optional)

Geoffrey Hinton InterviewВидео
02Neural Networks Basics27 материалов

Logistic Regression as a Neural Network

Binary ClassificationВидеоLogistic RegressionВидеоLogistic Regression Cost FunctionВидеоGradient DescentВидеоDerivativesВидеоMore Derivative ExamplesВидеоComputation GraphВидеоDerivatives with a Computation GraphВидеоLogistic Regression Gradient DescentВидеоGradient Descent on m ExamplesВидеоDerivation of DL/dz (Optional)Чтение

Python and Vectorization

VectorizationВидеоMore Vectorization ExamplesВидеоVectorizing Logistic RegressionВидеоVectorizing Logistic Regression's Gradient OutputВидеоBroadcasting in PythonВидеоA Note on Python/Numpy VectorsВидео

Lecture Notes (Optional)

Lecture Notes W2Чтение

Quiz

Neural Network Basics Задание

Programming Assignments

Deep Learning Honor CodeЧтениеProgramming Assignment FAQЧтение(Optional) Downloading your Notebook, Downloading your Workspace and Refreshing your WorkspaceЧтениеPython Basics with NumpyПрограммированиеLogistic Regression with a Neural Network MindsetПрограммирование

Heroes of Deep Learning (Optional)

Pieter Abbeel InterviewВидео
03Shallow Neural Networks15 материалов

Shallow Neural Network

Neural Networks OverviewВидеоNeural Network RepresentationВидеоComputing a Neural Network's OutputВидеоVectorizing Across Multiple ExamplesВидеоExplanation for Vectorized ImplementationВидеоActivation FunctionsВидеоWhy do you need Non-Linear Activation Functions?ВидеоDerivatives of Activation FunctionsВидеоGradient Descent for Neural NetworksВидеоBackpropagation Intuition (Optional)ВидеоRandom InitializationВидео

Lecture Notes (Optional)

Lecture Notes W3Чтение

Quiz

Shallow Neural Networks Задание

Programming Assignment

Planar Data Classification with One Hidden LayerПрограммирование

Heroes of Deep Learning (Optional)

Ian Goodfellow InterviewВидео
04Deep Neural Networks18 материалов

Deep Neural Network

Deep L-layer Neural NetworkВидеоForward Propagation in a Deep NetworkВидеоGetting your Matrix Dimensions RightВидеоWhy Deep Representations?ВидеоBuilding Blocks of Deep Neural NetworksВидеоForward and Backward PropagationВидеоOptional Reading: Feedforward Neural Networks in DepthЧтениеParameters vs HyperparametersВидеоClarification For: What does this have to do with the brain?ЧтениеWhat does this have to do with the brain?Видео

Lecture Notes (Optional)

Lecture Notes W4Чтение

Quiz

Key Concepts on Deep Neural Networks Задание

End of access to Lab Notebooks

[IMPORTANT] Reminder about end of access to Lab NotebooksЧтение

Programming Assignments

Building your Deep Neural Network: Step by StepПрограммированиеConfusing Output from the AutoGraderЧтениеDeep Neural Network - ApplicationПрограммирование

References & Acknowledgments

References ЧтениеAcknowledgmentsЧтение
Quick tour of Jupyter/iPython NotebooksВидео
Explanation of Logistic Regression Cost Function (Optional)Видео