Deep Learning Certificate Part I
You will learn the practical details of deep learning applications with hands-on model building using PyTorch and fast.ai and work on problems ranging from computer vision, natural language processing, and recommendation systems.
After finishing this course you be able to:
- apply transfer learning to image classification problems
- use neural networks for recommendation algorithms
- use recurrent neural networks and convolutional neural networks for text classification problems
- apply neural networks to tabular data and learn embeddings for categorical variables
Previous experience programming in Python and some machine learning background is advised to make best use of the course.