Deep Learning

M3 - Deep Learning

Introduces to the most recent developments in machine learning, which are deep learning and artificial intelligence applications. The module will provide a solid foundation for this exciting and rapidly developing field. Students will learn whether and how to apply deep learning techniques for business analytics, and acquire proficiency in new methods autonomously.

Content by week for this module

• W 43: Introduction to Artificial Neural Networks (ANN) & Deep Learning (DL)
• W 44: Neural networks for spatial data: Recurrent Neural Networks (RNN)
• W 45: Neural Networks for sequential data: Recurrent Neural networks (RNN & LSTM)
• W 46: Workshop: Advanced DL applications

Preperation

Datacamp:

• Introduction to TensorFlow in R
• Introduction to Deep Learning in Python
• Image Processing with Keras in Python
• Recurrent Neural Networks for Language Modeling in Python
• Advanced Deep Learning with Keras

Additional:

• 3Blue1Brown Visual Introduction to Neural networks
• SOTA Language Processing
• Keras
• R-Keras
• RStudio AI blog: Excellent source for frequent torch/keras exercises and announcements within th R ecosystem
• fast.ai
• Machinelearningmastery