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Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning · LearnSpace
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Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Курс от DeepLearning.AI
Средний≈ 22.1 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the DeepLearning.AI TensorFlow Developer Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new DeepLearning.AI TensorFlow Developer Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.

Навыки, которые вы освоите

TensorflowConvolutional Neural NetworksDeep LearningMachine LearningComputer VisionModel EvaluationData PreprocessingModel TrainingArtificial Neural NetworksImage AnalysisKeras (Neural Network Library)Applied Machine LearningArtificial Intelligence

Программа курса

4 модулей · 64 учебных материалов

01A New Programming Paradigm17 материалов

A new programming paradigm

Introduction: A conversation with Andrew NgВидеоWelcome to the course!ЧтениеA primer in machine learningВидеоThe ‘Hello World’ of neural networksВидео

Учитесь у экспертов

Laurence Moroney

Instructor

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 22.1 ч

4 модулей

Язык: Английский

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

Часть программы вашего университета
Intake SurveyВнешний инструмент
Join the DeepLearning.AI Forum to ask questions, get support, or share amazing ideas!Чтение
From rules to dataЧтение
Working through ‘Hello World’ in TensorFlow and PythonВидео
About the notebooks in this courseЧтение
Get started with Google Colaboratory (Coding TensorFlow)PLUGIN
Try it for yourself (Lab 1)Лабораторная
Week 1 QuizЗадание

Lecture Notes (Optional)

Lecture Notes Week 1Чтение

Weekly Assignment - Your First Neural Network

Assignment Troubleshooting TipsЧтение(Optional) Downloading your Notebook and Refreshing your WorkspaceЧтениеHousing PricesПрограммированиеWeek 1 ResourcesЧтение
02Introduction to Computer Vision14 материалов

Introduction to Computer Vision

A Conversation with Andrew NgВидеоAn Introduction to computer visionВидеоExploring how to use dataЧтениеWriting code to load training dataВидеоLabelling the Fashion MNIST dataЧтениеCoding a Computer Vision Neural NetworkВидеоWalk through a Notebook for computer visionВидеоGet hands-on with computer vision (Lab 1)ЛабораторнаяUsing Callbacks to control trainingВидеоSee how to implement Callbacks (Lab 2)ЛабораторнаяWalk through a notebook with CallbacksВидеоWeek 2 QuizЗадание

Lecture Notes (Optional)

Lecture Notes Week 2Чтение

Weekly Assignment - Implement a Deep Neural Network to recognize handwritten digits

Implementing Callbacks in TensorFlow using the MNIST DatasetПрограммирование
03Enhancing Vision with Convolutional Neural Networks13 материалов

Enhancing Vision with Convolutional Neural Networks

A conversation with Andrew NgВидеоWhat are convolutions and pooling?ВидеоCoding convolutions and pooling layersЧтениеImplementing convolutional layersВидеоLearn more about convolutionsЧтениеImplementing pooling layersВидеоImproving the Fashion classifier with convolutionsВидеоTry it for yourself (Lab 1)ЛабораторнаяWalking through convolutionsВидеоExperiment with filters and pools (Lab 2)ЛабораторнаяWeek 3 QuizЗадание

Lecture Notes (Optional)

Lecture Notes Week 3Чтение

Weekly Assignment - Improving DNN Performance using Convolutions

Improve MNIST with convolutionsПрограммирование
04Using Real-world Images20 материалов

Using Real-world Images

A conversation with Andrew NgВидеоExplore an impactful, real-world solutionЧтениеUnderstanding the tf.data APIВидеоDefining a ConvNet to use complex imagesВидеоTraining the ConvNetВидеоWalking through developing a ConvNetВидеоTraining the neural networkЧтениеWalking through training the ConvNetВидеоExperiment with the horse or human classifier (Lab 1)ЛабораторнаяAdding automatic validation to test accuracyВидеоGet hands-on and use validation (Lab 2)ЛабораторнаяExploring the impact of compressing imagesВидеоGet hands-on with compacted images (Lab 3)ЛабораторнаяWeek 4 QuizЗадание

Lecture Notes (Optional)

Lecture Notes Week 4Чтение

End of Access to Lab Notebooks

[IMPORTANT] Reminder about end of access to Lab NotebooksЧтение

Weekly Assignment - Handling Complex Images

Handling Complex ImagesПрограммирование

Course 1 Wrap up

Wrap upЧтениеA conversation with AndrewВидео

Acknowledgments

AcknowledgmentsЧтение