TensorFlow: Advanced Techniques Specialization
Master advanced TensorFlow features to build powerful machine learning models with custom architectures and training strategies.
Master advanced TensorFlow features to build powerful machine learning models with custom architectures and training strategies.
This advanced specialization teaches software engineers and ML practitioners to leverage TensorFlow's advanced capabilities. Through four comprehensive courses, students learn to build custom models using the Functional API, implement custom training loops, work with advanced computer vision techniques, and explore generative deep learning. The program combines theoretical concepts with hands-on projects in areas like style transfer, object detection, and generative AI.
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বাংলা, پښتو, اردو, 3 more
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What you'll learn
Build custom models with non-sequential architectures
Implement custom training loops and optimization strategies
Master advanced computer vision techniques like object detection
Create generative AI models including GANs and VAEs
Optimize training for multiple processors and chip types
Develop custom loss functions and layers
Skills you'll gain
This course includes:
80 Hours PreRecorded video
Hands-on Projects, Programming Exercises
Access on Mobile
FullTime access
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There are 4 courses in this program
Rust Programming
Course 1 · 5 Months to complete · 5 modules
ASQ-Certified Six Sigma Yellow Belt Exam Prep Specialization
Course 2 · 21 Hours to complete · 3 modules
Web3 and Blockchain in Global Commerce
Course 3 · 80 Hours to complete · 4 modules
AWS Certified Data Engineer Associate Exam Prep
Course 4 · 31 Hours to complete · 6 modules
Fee Structure
Payment options
Financial Aid
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