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Programming Generative AI: Foundations · LearnSpace
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Programming Generative AI: Foundations

Курс от Pearson
Средний≈ 5.5 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Unlock the transformative power of generative AI with our comprehensive online course, designed for learners eager to master the fundamentals and practical applications of deep generative modeling. Begin your journey by demystifying what generative AI truly is, exploring the diverse landscape of multimodal models, and understanding how algorithms can create rich media content from scratch. Delve into the theoretical underpinnings and formalizations that drive deep generative models, gaining insight into the trade-offs between different architectures. Transition seamlessly from theory to practice as you are introduced to the PyTorch framework—one of the most powerful tools in modern deep learning. Through hands-on programming exercises, you’ll learn to manipulate tensors, leverage automatic differentiation, and harness GPU acceleration to build and train your own neural networks. By the end of this course, you’ll not only grasp the core concepts behind generative AI but also acquire the practical skills needed to implement and experiment with deep learning models using industry-standard tools. Whether you’re aspiring to innovate in AI research or apply these skills in real-world projects, this course is your gateway to the future of artificial intelligence.

Навыки, которые вы освоите

Generative AIGenerative Model ArchitecturesPyTorch (Machine Learning Library)Deep LearningArtificial Neural NetworksModel Training

Программа курса

1 модулей · 31 учебных материалов

01Programming Generative AI: Unit 131 материалов

Module Introduction

Specialization IntroductionВидео

The What, Why, and How of Generative AI

TopicsВидеоGenerative AI in the WildВидеоDefining Generative AIВидеоMultitudes of Media

Учитесь у экспертов

Pearson

Преподаватель курса

Jonathan Dinu

Freelance ML Engineer

Programming Generative AI: Foundations
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Обучение на Coursera

≈ 5.5 ч

1 модулей

Язык: Английский

Субтитры: Американский английский

Часть программы вашего университета
Видео
How Machines CreateВидео
Formalizing Generative ModelsВидео
Generative versus Discriminative ModelsВидео
The Generative Modeling TrilemmaВидео
Introduction to Google ColabВидео
The What, Why, and How of Generative AI QuizЗадание

PyTorch for the Impatient

TopicsВидеоWhat Is PyTorch?ВидеоThe PyTorch Layer CakeВидеоThe Deep Learning Software TrilemmaВидеоWhat Are Tensors, Really?ВидеоTensors in PyTorchВидеоIntroduction to Computational GraphsВидеоBackpropagation Is Just the Chain RuleВидеоEffortless Backpropagation with torch.autogradВидеоPyTorch's Device Abstraction (i.e., GPUs)ВидеоWorking with DevicesВидеоComponents of a Learning AlgorithmВидеоIntroduction to Gradient DescentВидеоGetting to Stochastic Gradient Descent (SGD)ВидеоComparing Gradient Descent and SGDВидеоLinear Regression with PyTorchВидеоPerceptrons and NeuronsВидеоLayers and Activations with torch.nnВидеоMulti-layer Feedforward Neural Networks (MLP)ВидеоPyTorch for the Impatient QuizЗадание