What You'll Learn
- Build deep learning models from scratch using PyTorch with a strong engineering foundation
- Build deep learning models from scratch using PyTorch with a strong engineering foundation
- Understand and apply neural networks, backpropagation, and optimization effectively
- Train, evaluate, and improve models using regularization and generalization techniques
Requirements
- Build CNNs and sequence models for real-world vision and time-series tasks.
- Build CNNs and sequence models for real-world vision and time-series tasks.
- Apply CNNs and sequence models to solve real image and time-series problems end-to-end.
- Create computer vision and time-series solutions using CNNs and sequence networks.
Who This Course is For
- Machine learning engineers who want to deepen their understanding of deep neural networks
- Software engineers transitioning into AI and deep learning roles
- Data scientists looking to build production-ready deep learning models
- Students and graduates preparing for AI, ML, or deep learning interviews
Your Instructor
Data Science Academy
Bridging knowledge to industry with Data & AI education
4.3 Instructor Rating
1,070 Reviews
50,911 Students
24 Courses
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