Hands-On Introduction to Deep Learning
Each session of this course is two hours long
Description
- Part I: Intro to Deep Learning using Tensorflow
- Part II: Deep Learning in More Detail (Keras with PyTorch Backend)
- a. Logistic Regression as a Shallow Neural Network
- b. General Dense Deep Neural Network
Requirements for the Hands-On exercises
- Part I: The material can be found here:
https://github.com/chpc-uofu/AIML_Intro.git - Part II:
- The material can be found at the following location:
https://github.com/chpc-uofu/HandsOnDL.git - If you have a CHPC account, we strongly recommend to use Ondemand
i.e., the Jupyter App and the "CHPC Deep Learning 2024.2" container. - Or you can install miniforge with some additional packages as described in detail here:
https://github.com/chpc-uofu/HandsOnDL/blob/main/README.md
- The material can be found at the following location: