A Generative Adversarial Networks (GANs) Specialization made by deeplearning.ai on Coursera

This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)

Coursera Generative Adversarial Networks (GANs) Specialization

This Repository Contains Solution to the Assignments of the Generative Adversarial Networks (GANs) Specialization from deeplearning.ai on Coursera Taught by Sharon Zhou, Eda Zhou, Eric Zelikman

Deeplearning.AI Generative Adversarial Networks (GANs) Specialization Solution

Solutions to DeepLearning.AI Generative Adversarial Networks (GANs) Specialization

Generative Adversarial Networks (GANs) are powerful machine learning models capable of generating realistic image, video, and voice outputs. Rooted in game theory, GANs have wide-spread application: from improving cybersecurity by fighting against adversarial attacks and anonymizing data to preserve privacy to generating state-of-the-art images, colorizing black and white images, increasing image resolution, creating avatars, turning 2D images to 3D, and more. The DeepLearning.AI Generative Adversarial Networks (GANs) Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach. It also covers social implications, including bias in ML and the ways to detect it, privacy preservation, and more.

This repo contains my coursework, assignments, Slides and Notes for Generative Adversarial Networks (GANs) Specialization by deeplearning.ai on Coursera

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Generative Adversarial Networks (GANs) Specialization by Sharon Zhou on Coursera - My Completed Coursework Repo - All 3 Courses

Gathering the code submissions from the Generative Adversarial Networks (GANs) Specialization @ Coursera https://www.coursera.org/specializations/generative-adversarial-networks-gans

Coursera-Generative Adversarial Networks (GANs) Specialization

Homework from the deeplearning.ai Generative Adversarial Networks GAN Specialization on Coursera (In Progress)

This repository contains solution to DeepLearning.AI Generative Adversarial Networks (GANs) Specialization.

About GANs Generative Adversarial Networks (GANs) are powerful machine learning models capable of generating realistic image, video, and voice outputs. Rooted in game theory, GANs have wide-spread application: from improving cybersecurity by fighting against adversarial attacks and anonymizing data to preserve privacy to generating state-of-the-art images, colorizing black and white images, increasing image resolution, creating avatars, turning 2D images to 3D, and more.

This repository contains coursework and projects from the DeepLearning.AI GANs Specialization, covering topics like building GANs, advanced architectures (DCGANs, WGANs, StyleGANs), and applications in data augmentation and image-to-image translation.

The DeepLearning.AI Generative Adversarial Networks GANs Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach. It also covers social implications, including bias in ML and the ways to detect it, privacy preservation, and more. Build a comprehensive knowledge base and gain hands-on experience in GANs. Train your own model using PyTorch, use it to create images, and evaluate a variety of advanced GANs.

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Coursera course

Generative Adversarial Networks (GANs) are powerful machine learning models capable of generating realistic image, video, and voice outputs.

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DeepLearning.AI - Generative Adversarial Networks (GANs) Specialization

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The DeepLearning.AI Generative Adversarial Networks (GANs) Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach. It also covers social implications, including bias in ML and the ways to detect it, privacy preservation, and more.

This repository contains the solution of Generative Adversarial Networks (GANs) specialization by deeplearning.ai

The DeepLearning.AI Generative Adversarial Networks (GANs) Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach. It also covers social implications, including bias in ML and the ways to detect it, privacy preservation, and more.

Generative Adversarial Networks (GANs) Specialization

Generative Adversarial Networks (GANs) Specialization

Generative Adversarial Networks (GANs) Specialization

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