Search result for Courses taught by Laurence Moroney
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Custom Models, Layers, and Loss Functions with TensorFlow
by Laurence Moroney , Eddy Shyu- 4.9
Approx. 31 hours to complete
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. The DeepLearning. Functional APIs A conversation with Andrew Ng: Overview of the specialization A conversation with Andrew Ng: Overview of course 1...
Custom and Distributed Training with TensorFlow
by Laurence Moroney , Eddy Shyu- 4.8
Approx. 24 hours to complete
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 Datasets to gain more flexibility and visibility with your model training....
Advanced Computer Vision with TensorFlow
by Laurence Moroney , Eddy Shyu- 4.8
Approx. 24 hours to complete
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 rubber duck images....
Generative Deep Learning with TensorFlow
by Laurence Moroney , Eddy Shyu- 4.9
Approx. 23 hours to complete
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. The DeepLearning. Week 1: Style Transfer Welcome to Course 4...
Browser-based Models with TensorFlow.js
by Laurence Moroney- 4.7
Approx. 17 hours to complete
Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this first course, you’ll train and run machine learning models in any browser using TensorFlow....
Device-based Models with TensorFlow Lite
by Laurence Moroney- 4.7
Approx. 10 hours to complete
Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. This second course teaches you how to run your machine learning models in mobile applications....
Data Pipelines with TensorFlow Data Services
by Laurence Moroney- 4.3
Approx. 11 hours to complete
Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this third course, you will: - Perform streamlined ETL tasks using TensorFlow Data Services...
Advanced Deployment Scenarios with TensorFlow
by Laurence Moroney- 4.7
Approx. 13 hours to complete
Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this final course, you’ll explore four different scenarios you’ll encounter when deploying models. This Specialization builds upon our TensorFlow in Practice Specialization....
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Course Definition & Meaning - Merriam-Webster
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course: [noun] the act or action of moving in a path from point to point....