Artificial Intelligence
Classroom
Deep Learning
Train neural networks and investigate their behavior through practical deep learning experiments.
Level
Advanced
Duration
12 Weeks
Learning format
Classroom
ABOUT THE COURSE
About Deep Learning
Study neural network training, optimization and regularization before exploring image and sequence models. Build experiments in PyTorch, use transfer learning and analyze overfitting, compute requirements and model errors.
UNDERSTAND THE FIELD
What is Deep Learning?
TOOLS & TECHNOLOGIES
Tools you will work with
- Python
- PyTorch
- NumPy
- Jupyter
WHAT YOU WILL LEARN
Learning outcomes
- Implement training and validation loops for neural networks.
- Apply convolutional networks and transfer learning to image tasks.
- Diagnose overfitting and compare experiments with consistent evaluation.
WHO SHOULD JOIN
Is this course right for you?
Prerequisites / eligibility
Python, machine learning fundamentals, linear algebra and basic calculus.
TAKE THE NEXT STEP
Ready to explore Deep Learning?
Speak with our counsellors and find the right learning path for you.