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DeepLearning.AI - TensorFlow: Advanced Techniques Specialization 

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  • Public/Government Institute

TensorFlow: Advanced Techniques Specialization
 at 
Coursera 
Overview

Duration

5 months

Total fee

Free

Mode of learning

Online

Official Website

Explore Free Course External Link Icon

Credential

Certificate

TensorFlow: Advanced Techniques Specialization
Table of content
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  • Overview
  • Highlights
  • Course Details
  • Curriculum

TensorFlow: Advanced Techniques Specialization
 at 
Coursera 
Highlights

  • Earn a Certificate upon completion
  • Financial aid available
Details Icon

TensorFlow: Advanced Techniques Specialization
 at 
Coursera 
Course details

More about this course
  • 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 AIso can create new content from Style Transfer to Auto Encoding, VAEs, and GANs
Read more

TensorFlow: Advanced Techniques Specialization
 at 
Coursera 
Curriculum

Custom Models, Layers, and Loss Functions with TensorFlow

Custom and Distributed Training with TensorFlow

Advanced Computer Vision with TensorFlow

Generative Deep Learning with TensorFlow

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TensorFlow: Advanced Techniques Specialization
 at 
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