2019 | ISBN: n/a | English | 572 pages | PDF | 8,26 MB
Deep learning methods offer a lot of promise for series forecasting, such as the automatic learning of temporal dependence and the automatic handling of temporal structures like trends and seasonality.
2017 | ISBN: n/a | English | 414 pages | PDF | 7,21 MB
Deep learning methods are achieving state-of-the-art results on challeg machine learning problems such as describing photos and translating text from one language to another.
2019 | ISBN: n/a | English | 563 pages | PDF | 10,2 MB
Deep learning methods can achieve state-of-the-art results on challeg computer vision problems such as image classification, object detection, and face recognition.