Minicourses

Cosmology and Deep Learning, from blackboard to notebook.

Minicourses given at the CBPF Schools and at IAG-USP, with slides, videos and ready-to-run notebooks.

Class of a Deep Learning minicourse

XIII CBPF School · 2021

Cosmology with Python

Minicourse given from August 9 to 13, 2021 at the XIII CBPF School, combining cosmology fundamentals with hands-on Python exercises.

Example 1 adapted from Princeton PHY 209

XIII CBPF School · 2021

Deep Learning

Version of the minicourse given from August 9 to 13, 2021 at the XIII CBPF School, with Prof. Elisangela L. Faria.

IAG-USP · 2021

Deep Learning at the Data Science course

Lecture at the IAG-USP Data Science course, in English.

Previous version

Introduction to Deep Learning

Eight hours of lectures and eight hours of hands-on work with tutors. The idea is to give a brief but useful introduction to Deep Learning, with a focus on astronomy. If you are not an astronomer, don't worry: all you might miss is the scientific motivation behind the examples and a deeper understanding of the data.

To run the examples

  • TensorFlow
  • Keras
  • Anaconda Python 3
  • Matplotlib
  • NumPy

XII CBPF School · 2019

Deep Learning at the XII School

Version of the minicourse given from July 29 to August 2, 2019. The first lecture was given by Dr. Márcio Albuquerque.

Videos (YouTube, in Portuguese)

Shareable examples

Short notebooks to experiment with Deep Learning techniques applied to astronomy.

Examples 1 to 5 were written by Luciana Olívia Dias and Patrick Schubert under my supervision. A similar version of the first example is available at adventuresinmachinelearning.com