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TensorFlow: Advanced Techniques

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Expand your skill set and master TensorFlow

About TensorFlow TensorFlow is an end-to-end open-source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML, and developers easily build and deploy ML-powered applications. TensorFlow is commonly used for machine learning applications such as voice recognition and detection, Google Translate, image recognition, and natural language processing. About this Specialization Expand your knowledge of the Functional API and build exotic non-sequential model types. Learn how to optimize training in different environments with multiple processors and chip types and get introduced to advanced computer vision scenarios such as object detection, image segmentation, and interpreting convolutions. Explore generative deep learning including the ways AIs can create new content from Style Transfer to Auto Encoding, VAEs, and GANs. About you This Specialization is for software and machine learning engineers with a foundational understanding of TensorFlow who are looking to expand their knowledge and skill set by learning advanced TensorFlow features to build powerful models. Looking for a place to start? Master foundational basics with the DeepLearning.AI TensorFlow Developer Professional Certificate. Ready to deploy your models to the world? Learn how to go live with the TensorFlow: Data and Deployment Specialization.

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From deeplearning.ai via Coursera
Hours 1
Instructors Laurence Moroney, Eddy Shyu
Language English
Subjects Programming Data Science

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Research Scientist-Machine Learning $55k

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Machine Learning Engineer 2 $161k

Machine Learning Scientist Manager $170k

Machine Learning Scientist, Personalization $213k

Courses in this Specialization

Listed in the order in which they should be taken

Starts Course Information

Jul
3

Custom Models, Layers, and Loss Functions with TensorFlow

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...

Coursera | deeplearning.ai

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Jul
3

Custom and Distributed Training with TensorFlow (You were viewing this course)

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,...

Coursera | deeplearning.ai

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Jun
26

Advanced Computer Vision with TensorFlow

In this course, you will: a) Explore image classification, image segmentation, object localization, and object detection. Apply transfer learning to object localization and...

Coursera | deeplearning.ai

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Jul
3

Generative Deep Learning with TensorFlow

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...

Coursera | deeplearning.ai

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Coursera

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deeplearning.ai

From deeplearning.ai via Coursera
Hours 1
Instructors Laurence Moroney, Eddy Shyu
Language English
Subjects Programming Data Science

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).

Research Scientist-Machine Learning $55k

Cloud Architect - Azure / Machine Learning $75k

Watson Machine Learning Engineer $81k

Machine Learning Software Developer $103k

Software Engineer (Machine Learning) $116k

Applied Scientist, Machine Learning $130k

Autonomy and Machine Learning Solutions Architect $131k

Applied Scientist - Machine Learning -... $136k

RESEARCH SCIENTIST (MACHINE LEARNING) $147k

Machine Learning Engineer 2 $161k

Machine Learning Scientist Manager $170k

Machine Learning Scientist, Personalization $213k

Similar Courses

Sorted by relevance