Deep Reinforcement Learning Nanodegree Program

During this course, I studied numerousous deep RL algorithmsfor single agent (DQN, SARSA, Actor-Critic Methods) and multi-agent training (MADDPG).

DEI01x: Data Ethics, AI and Responsible Innovation

During this course, I studied how impactful and dangerous misuse of data could be, whether this misuse was intentional or accidental. I also studied solutions and how to put ethics as the corner stone of project developement when it involves data

Sequence Models

During this course, I studied Recurrent Neural Networks with multiple historical models (RNNs, GRUs, LSTMs) as well as word encoding (Word Embedding..)

Improving Deep Neural Networks

This course taught me the ‘magic’ of getting deep learning to work well. Rather than consider the DL process as being a black box, I learnt what drives performanceeee

Machine Learning

During this course, I studied Machine Learning starting with both supervised (Regression, Classification) and unsupervised learning (Dimension reduction..)

Deep Learning

During this course, I studied Neural Networks in depth with theory (Convolution, Pooling, SGD..) and analysis of historical networks (VGG, GoogLeNet..).