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Deep Learning with TensorFlow and PyTorch
Build and train neural networks with the two leading frameworks
by Priya Sharma
About this course
Learn to build, train, and fine-tune neural networks using both TensorFlow and PyTorch. This course covers computer vision and natural language processing use cases with real datasets.
What you'll learn
- Build neural networks with TensorFlow and PyTorch
- Train computer vision models
- Fine-tune pretrained models for new tasks
- Understand when to use TensorFlow versus PyTorch
Requirements
- Working knowledge of Python
- Basic machine learning concepts
Curriculum
4 sections • 11 lessonsA quick orientation before diving into Deep Learning with TensorFlow and PyTorch.
Course Introduction and Roadmap
Preview
7:00
Setting Up Your Environment
Preview
9:00
How This Course Works
The main skills you will build in this course.
Build neural networks with TensorFlow and PyTorch
10:00
Train computer vision models
11:00
Fine-tune pretrained models for new tasks
12:00
Understand when to use TensorFlow versus PyTorch
13:00
Apply what you learned to realistic exercises.
Guided Project: Deep Learning with TensorFlow and PyTorch
15:00
Independent Challenge Exercise
Course Recap and Next Steps
6:00
Final Assessment and Certificate
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ETB 79.99 ETB 109.99
Sign Up to Enroll - Advanced level
- 35h total
- Certificate of completion
- Full lifetime access
