# Modern reference on general Deep Learning theory

In the present, Deep Learning is experiencing lightspeed growth, with plethora of new architectures and radiant ideas emerging each month. Since the last few years several influential ideas, applied in different papers have been developed - among which most important are Transformer, EfficientNet, MobileNets. Is there some modern reference, in the spirit of the famous https://www.deeplearningbook.org/, in some way, generalizing the most prominent advances in Deep Learning?

• Can I know are you looking for Deep Learning latest realized resource? – AIFahim Feb 22 at 16:48
• @AIFahim as far, as I undestand, the latest edition doesn't contain these topics, and at least I am unaware of plans to include them. I ask, whether there exist a book of similar strucutre, but accounting for the recent advances – spiridon_the_sun_rotator Feb 22 at 17:05