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