Why This Course
PyTorch is the dominant framework in current deep learning research and production, making it the practical choice for hands-on neural network training.
What You’ll Learn
- Tensors, autograd, and the PyTorch training loop
- Building feedforward and convolutional networks
- Transfer learning with pretrained models
- Training on GPUs and debugging common failure modes
Curriculum
- PyTorch Fundamentals & Tensors
- Building Neural Networks
- Training Loops & Optimization
- Convolutional Neural Networks
- Transfer Learning
- Debugging & Improving Model Performance
- Capstone: Train a Custom Model
Who Should Attend
ML practitioners moving from classical ML into deep learning.
Prerequisites
Python and machine learning fundamentals.