Eddy Shyu

Eddy is a product lead at deeplearning.ai, partnering with AI experts to build courses. Eddy was previously a curriculum developer at Udacity, and was co-instructor for the AI for Trading Nanodegree.

Coursera

DeepLearning.AI

Custom Models, Layers, and Loss Functions with TensorFlow (Coursera)

Data Science

Dive into the world of advanced TensorFlow techniques with 'Custom Models, Layers, and Loss Functions with TensorFlow'. This course will equip you with the skills to build custom machine learning models, craft unique layers, and develop tailored loss functions. Whether you're a data scientist aiming to enhance your neural network's capabilities or an aspiring developer looking to delve deeper into TensorFlow's potential, this course offers a pathway to mastering complex model architectures.

Jun 1st 2026

5-12 Weeks

Machine Learning Neural Networks Players

Coursera

DeepLearning.AI

Generative Deep Learning with TensorFlow (Coursera)

Data Science

Dive into the world of generative models with this comprehensive online course on Generative Deep Learning with TensorFlow. Learn neural style transfer, build AutoEncoders, explore Variational AutoEncoders (VAEs), and create your own Generative Adversarial Networks (GANs). Perfect for data scientists, AI enthusiasts, and developers looking to generate new content and images using deep learning.

Jun 1st 2026

4 Weeks

TensorFlow Deep Learning Autoencoders

Coursera

Stanford University,DeepLearning.AI

Advanced Learning Algorithms (Coursera)

Data Science

Expand your knowledge in machine learning by diving into 'Advanced Learning Algorithms'. This course will guide you through building and training complex neural networks using TensorFlow for effective multi-class classification tasks. You'll also learn best practices for developing machine learning models that generalize well to real-world data and scenarios, as well as explore decision trees and ensemble methods like random forests and boosted trees.

Jun 1st 2026

4 Weeks

Algorithms Machine Learning Neural Networks

Coursera

Stanford University,DeepLearning.AI

Supervised Machine Learning: Regression and Classification (Coursera)

Data Science

Dive into the world of Supervised Machine Learning with our introductory course designed to equip you with essential skills in model building and training. This course will guide you through constructing and refining regression and classification models using Python's powerful libraries such as NumPy and scikit-learn, enabling you to tackle prediction and binary classification tasks effectively.

Jun 1st 2026

3 Weeks

Python Machine Learning Regression

Coursera

Stanford University,DeepLearning.AI

Unsupervised Learning, Recommenders, Reinforcement Learning (Coursera)

Data Science

Dive into the world of advanced machine learning with our 'Unsupervised Learning, Recommenders, Reinforcement Learning' course. This comprehensive program will equip you with essential skills in unsupervised learning techniques like clustering and anomaly detection, as well as cutting-edge approaches to building effective recommender systems and implementing deep reinforcement learning models.

Jun 1st 2026

3 Weeks

Machine Learning Clustering Recommender Systems

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