DL Foreword motivate the chapters

[Emil Hvitfeldt]

Something like:

DNN - we start by getting familiar with the transition to using keras/deep learning and we are doing this with a "simple" architecture
LSTM - once we have the general workflow for deep learning down will we explore a more advanced architecture where ordering matter
CNN - Lastly will we look at CNNN which are able to capture local patterns