recent advances in deep learning so farthis book has discussed important topics in the realm of deep learningfeed-forward networksconvolutional neural networksand recurrent neural networks we described their practical aspectsincluding implementationtrainingvalidationand tuning models for improvement with pytorch although we covered lot of ground on the foundational aspectsthere are still vast areas that remain untouched the field of deep learning recently has witnessed huge spike in researchcontributorsand adoption in the industry for cutting-edge solutions the sheer velocity of updates and changes (both incremental and groundbreakingis colossal even since you have been reading this bookthere might have been several groundbreaking research papers published that tailor the next course in the field of deep learning in this concluding we introduce some additional topics relevant to deep learning that should help you study the topic in more meaningful way this serves only as brief introduction and does not dive into any implementation details you are recommended to explore additional resources related to these topics to strengthen the area that interests your academicpersonaland industry career let' get started (cnikhil ketkarjojo moolayil ketkar and moolayildeep learning with python