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.

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Advanced Computer Vision with TensorFlow (Coursera)

Oct 18th 2021
Advanced Computer Vision with TensorFlow (Coursera)
Course Auditing
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In this course, you will: a) Explore image classification, image segmentation, object localization, and object detection. Apply transfer learning to object localization and detection; b) Apply object detection models such as regional-CNN and ResNet-50, customize existing models, and build your own models to detect, localize, and label your own [...]
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AI For Medical Treatment (Coursera)

AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This Specialization will give you practical experience in applying machine learning to concrete problems in [...]
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AI for Medical Prognosis (Coursera)

AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This Specialization will give you practical experience in applying machine learning to concrete problems in [...]
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AI for Medical Diagnosis (Coursera)

AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. As an AI practitioner, you have the opportunity to join in this transformation of modern medicine. If you're already familiar with some of the math [...]
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Generative Deep Learning with TensorFlow (Coursera)

Oct 11th 2021
Generative Deep Learning with TensorFlow (Coursera)
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In this course, you will: a) Learn neural style transfer using transfer learning: extract the content of an image (eg. swan), and the style of a painting (eg. cubist or impressionist), and combine the content and style into a new image; b) Build simple AutoEncoders on the familiar MNIST [...]
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Custom Models, Layers, and Loss Functions with TensorFlow (Coursera)

Oct 11th 2021
Custom Models, Layers, and Loss Functions with TensorFlow (Coursera)
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In this course, you will: • Compare Functional and Sequential APIs, discover new models you can build with the Functional API, and build a model that produces multiple outputs including a Siamese network; • Build custom loss functions (including the contrastive loss function used in a Siamese network) in [...]
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Oct 11th 2021
Course Auditing
41.00 EUR/month

Custom and Distributed Training with TensorFlow (Coursera)

Oct 11th 2021
Custom and Distributed Training with TensorFlow (Coursera)
Course Auditing
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In this course, you will: • Learn about Tensor objects, the fundamental building blocks of TensorFlow, understand the difference between the eager and graph modes in TensorFlow, and learn how to use a TensorFlow tool to calculate gradients; • Build your own custom training loops using GradientTape and TensorFlow [...]
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Natural Language Processing with Attention Models (Coursera)

This course is for students of machine learning or artificial intelligence as well as software engineers looking for a deeper understanding of how NLP models work and how to apply them.
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Natural Language Processing with Sequence Models (Coursera)

In Course 3 of the Natural Language Processing Specialization, offered by deeplearning.ai, you will: a) Train a neural network with GLoVe word embeddings to perform sentiment analysis of tweets, b) Generate synthetic Shakespeare text using a Gated Recurrent Unit (GRU) language model, c) Train a recurrent neural network to [...]
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Natural Language Processing with Classification and Vector Spaces (Coursera)

In Course 1 of the Natural Language Processing Specialization, offered by deeplearning.ai, you will: a) Perform sentiment analysis of tweets using logistic regression and then naïve Bayes, b) Use vector space models to discover relationships between words and use PCA to reduce the dimensionality of the vector space and visualize [...]
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