Eda Zhou

Eda Zhou completed her Bachelor’s and Master’s degrees in Computer Science from Worcester Polytechnic Institute. With a concentration in cybersecurity, Eda is driven to work with new technologies to protect the user, especially in the field of computer networks. A student of AI and machine learning, Eda is deeply interested in exploring how cutting-edge techniques can be applied to security.

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Build Basic Generative Adversarial Networks (GANs) (Coursera) Coursera
DeepLearning.AI

Build Basic Generative Adversarial Networks (GANs) (Coursera)

Data Science

Discover the power of Generative Adversarial Networks (GANs) in this introductory course. Whether you're new to machine learning or looking to deepen your expertise, this course will guide you through understanding GAN basics, their real-world applications, and implementing various architectures to generate compelling data samples. Start your journey into the fascinating world of GANs today!

Aug 31st 2026
4 Weeks
Machine Learning Data Science PyTorch
Details
Apply Generative Adversarial Networks (GANs) (Coursera) Coursera
DeepLearning.AI

Apply Generative Adversarial Networks (GANs) (Coursera)

Data Science

Dive into the world of Generative Adversarial Networks (GANs) with this in-depth online course. Whether you're interested in enhancing data privacy, augmenting datasets, or exploring creative applications like image translation, this course provides a solid foundation and practical experience with GANs. Learn to implement Pix2Pix and CycleGAN models, and understand the nuances between paired and unpaired image-to-image translations.

Aug 31st 2026
3 Weeks
Machine Learning Convolutional Neural Networks PyTorch
Details
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