Sharon Zhou

Sharon Zhou is a CS PhD candidate at Stanford University, advised by Andrew Ng. Sharon's work in AI spans from the theoretical to the applied — in medicine, climate, and more broadly, social good. Previously a machine learning product manager at Google and a few startups, Sharon is a Harvard graduate in CS and Classics. She likes humans more than AI, though GANs occupy a special place in her heart.

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How Diffusion Models Work (Coursera)

Apr 30th 2024
How Diffusion Models Work (Coursera)
Free Course
Categories
Effort
Languages
In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling in a pre-built model or using an API, this course will teach you to build a diffusion model from scratch.

Apply Generative Adversarial Networks (GANs) (Coursera)

In this course, you will: explore the applications of GANs and examine them wrt data augmentation, privacy, and anonymity; leverage the image-to-image translation framework and identify applications to modalities beyond images; implement Pix2Pix, a paired image-to-image translation GAN, to adapt satellite images into map routes (and vice versa); compare [...]

Build Better Generative Adversarial Networks (GANs) (Coursera)

Apr 29th 2024
Build Better Generative Adversarial Networks (GANs) (Coursera)
Course Auditing
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Effort
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In this course, you will: Assess the challenges of evaluating GANs and compare different generative models; Use the Fréchet Inception Distance (FID) method to evaluate the fidelity and diversity of GANs; Identify sources of bias and the ways to detect it in GANs; Learn and implement the techniques associated [...]

Build Basic Generative Adversarial Networks (GANs) (Coursera)

In this course, you will: Learn about GANs and their applications; Understand the intuition behind the fundamental components of GANs; Explore and implement multiple GAN architectures; Build conditional GANs capable of generating examples from determined categories.

Finetuning Large Language Models (Coursera)

Apr 8th 2024
Finetuning Large Language Models (Coursera)
Free Course
Categories
Effort
Languages
In this short course, you’ll learn essential finetuning concepts and how to train a large language model using your own data. You’ll be equipped to incorporate the latest techniques to optimize your model and produce transformative results.

How Diffusion Models Work (DeepLearning.AI)

Learn and build diffusion models from the ground up. Start with an image of pure noise, and arrive at a final image, learning and building intuition at each step along the way. In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the [...]