intermediateCertificate$49/mo
Deep Neural Networks with PyTorch
by Joseph Santarcangelo · Coursera
4.5(7,200 reviews)
100K+ enrolled7 weeksUpdated 2024-07
What You'll Learn
Understand the fundamentals and key concepts of PyTorch
Apply PyTorch techniques to solve real-world problems
Understand the fundamentals and key concepts of deep learning
Apply deep learning techniques to solve real-world problems
Understand the fundamentals and key concepts of CNNs
Apply CNNs techniques to solve real-world problems
About This Course
IBM course covering PyTorch tensors, datasets, transforms, CNNs, and building deep learning models from scratch.
Curriculum
Module 1: PyTorch & Deep learning6 lessons
- Introduction to PyTorch
- PyTorch in Practice
- Hands-on Exercise: PyTorch
- Introduction to deep learning
- Deep learning in Practice
- Hands-on Exercise: Deep learning
Module 2: CNNs & Neural networks6 lessons
- Introduction to CNNs
- CNNs in Practice
- Hands-on Exercise: CNNs
- Introduction to neural networks
- Neural networks in Practice
- Hands-on Exercise: Neural networks
Module 3: Python3 lessons
- Introduction to Python
- Python in Practice
- Hands-on Exercise: Python
Instructor
Joseph Santarcangelo
Instructor at Coursera
Pros & Cons
Pros
- Offers a certificate of completion
- High-quality video lectures
- Taught by Joseph Santarcangelo
- Well-structured curriculum
Cons
- Requires paid subscription
- Self-paced requires discipline
$49/mo
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