DeepLearning.AI Study Group

This is the second edition of our 16-week long advanced deep learning study series for AI enthusiasts and computer engineering students. Starting on December 1, we study the materials on each week and get together on saturdays to discuss them.

In this study group, the participants get an opportunity to interact with other participants, community members and guest professors to improve their knowledge on deep learning, apply it effectively, and build a career in AI. You will learn about Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN/LSTM/GRU), optimization algorithms (SGD, Adam, etc.), regularizers (Dropout, L1/L2, etc.), initialization schemes, and more.

We will go through programming assignments and quizzes as well as having discussions with other participants and experienced mentors.

Here are some photos taken at our first study group on deep learning last year:


Technical Prerequisite

- Programming experience: The course is taught in Python. We assume you have basic programming skills (understanding of for loops, if/else statements, data structures such as lists and dictionaries).

- Mathematics: basic linear algebra (matrix-vector operations and notation)

- Machine Learning: conceptual knowledge of machine learning ( supervised learning, unsupervised learning, test data, validation, some machine learning algorithms such as linear regression, logistic regression)

- Have a Python environment ie Anaconda ready on your computer before the programme. You will find instructions here.


See the FAQ here.


11:00 - 11:15  Introduction

11:15 - 13:00  Discussion

13:00 - 14:00  Lunch

14:00 - 15:00  Problem solving

15:00 - 15:15 Coffee Break

15:15 - 16:30  Discussion

All participants have to abide by the OUR CODE OF CONDUCT.