During this course, I studied numerousous deep RL algorithmsfor single agent (DQN, SARSA, Actor-Critic Methods) and multi-agent training (MADDPG).
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
During this course, I studied Recurrent Neural Networks with multiple historical models (RNNs, GRUs, LSTMs) as well as word encoding (Word Embedding..)
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
During this course, I studied Machine Learning starting with both supervised (Regression, Classification) and unsupervised learning (Dimension reduction..)
During this course, I studied Neural Networks in depth with theory (Convolution, Pooling, SGD..) and analysis of historical networks (VGG, GoogLeNet..).