intermediateCertificate$12.99
PyTorch for Deep Learning & Machine Learning
by Daniel Bourke · Udemy
4.7(9,500 reviews)
60K+ enrolled26 hoursUpdated 2024-12
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
Covers PyTorch fundamentals, neural networks, CNNs, and transfer learning through building projects 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 & Transfer learning6 lessons
- Introduction to CNNs
- CNNs in Practice
- Hands-on Exercise: CNNs
- Introduction to transfer learning
- Transfer learning in Practice
- Hands-on Exercise: Transfer learning
Module 3: Neural networks3 lessons
- Introduction to neural networks
- Neural networks in Practice
- Hands-on Exercise: Neural networks
Instructor
Daniel Bourke
Instructor at Udemy
Pros & Cons
Pros
- Highly rated by students
- Offers a certificate of completion
- High-quality video lectures
- Taught by Daniel Bourke
Cons
- Requires paid subscription
- Self-paced requires discipline
$12.99
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