Deep Learning Models

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Create Machine Learning Models in Microsoft Azure (Coursera)

Jul 4th 2022
Create Machine Learning Models in Microsoft Azure (Coursera)
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Machine learning is the foundation for predictive modeling and artificial intelligence. If you want to learn about both the underlying concepts and how to get into building models with the most common machine learning tools this path is for you. In this course, you will learn the core principles [...]

Explainable deep learning models for healthcare - CDSS 3 (Coursera)

Jun 27th 2022
Explainable deep learning models for healthcare - CDSS 3 (Coursera)
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This course will introduce the concepts of interpretability and explainability in machine learning applications. The learner will understand the difference between global, local, model-agnostic and model-specific explanations. State-of-the-art explainability methods such as Permutation Feature Importance (PFI), Local Interpretable Model-agnostic Explanations (LIME) and SHapley Additive exPlanation (SHAP) are explained and [...]

AI Capstone Project with Deep Learning (Coursera)

Jun 27th 2022
AI Capstone Project with Deep Learning (Coursera)
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In this capstone, learners will apply their deep learning knowledge and expertise to a real world challenge. They will use a library of their choice to develop and test a deep learning model. They will load and pre-process data for a real problem, build the model and validate [...]

Building Deep Learning Models with TensorFlow (Coursera)

Jun 27th 2022
Building Deep Learning Models with TensorFlow (Coursera)
Course Auditing
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The majority of data in the world is unlabeled and unstructured. Shallow neural networks cannot easily capture relevant structure in, for instance, images, sound, and textual data. Deep networks are capable of discovering hidden structures within this type of data. In this course you’ll use TensorFlow library to apply [...]

Deep Neural Networks with PyTorch (Coursera)

The course will teach you how to develop deep learning models using Pytorch. The course will start with Pytorch's tensors and Automatic differentiation package. Then each section will cover different models starting off with fundamentals such as Linear Regression, and logistic/softmax regression.

Introduction to TensorFlow Lite (Udacity)

Self Paced
Introduction to TensorFlow Lite (Udacity)
Free Course
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Learn how to deploy deep learning models on mobile and embedded devices with TensorFlow Lite. Learn how to deploy deep learning models on mobile and embedded devices with TensorFlow Lite. This course was developed by the TensorFlow team and Udacity as a practical approach to model deployment for software [...]