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

Deep Learning

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