Artificial Intelligence
Classroom
Deep Learning
Train neural networks and investigate their behavior through practical deep learning experiments.
AT A GLANCE
Course highlights
LevelAdvanced
Duration12 Weeks
Learning formatClassroom
THE OVERVIEW
About this course
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.
BUILD YOUR SKILLS
What you will learn
- 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.
YOUR TOOLKIT
Tools & technologies
- Python
- PyTorch
- NumPy
- Jupyter
BEFORE YOU BEGIN
Who should join?
Python, machine learning fundamentals, linear algebra and basic calculus.
SKILLS YOU BUILD
What you will learn
- 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.
TAKE THE NEXT STEP
Ready to explore Deep Learning?
Speak with our counsellors and find the right learning path for you.