Deep Learning Certificate Part I
You will learn the practical details of deep learning applications with hands-on model building using Pytorch 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
- learn sentences that describe an image
Previous experience programming in Python and some machine learning background is advised to make best use of the course.