Deep Learning with R
Produktnummer:
188bab6c64db404956b9a929b6934fbff2
| Autor: | Ghatak, Abhijit |
|---|---|
| Themengebiete: | Artificial Intelligence Convolutional neural networks and sequence models Deep neural networks Regularization and hyper-parameter tuning Statistics |
| Veröffentlichungsdatum: | 26.04.2019 |
| EAN: | 9789811358494 |
| Sprache: | Englisch |
| Seitenzahl: | 245 |
| Produktart: | Gebunden |
| Verlag: | Springer Singapore |
Produktinformationen "Deep Learning with R"
Deep Learning with R introduces deep learning and neural networks using the R programming language. The book builds on the understanding of the theoretical and mathematical constructs and enables the reader to create applications on computer vision, natural language processing and transfer learning. The book starts with an introduction to machine learning and moves on to describe the basic architecture, different activation functions, forward propagation, cross-entropy loss and backward propagation of a simple neural network. It goes on to create different code segments to construct deep neural networks. It discusses in detail the initialization of network parameters, optimization techniques, and some of the common issues surrounding neural networks such as dealing with NaNs and the vanishing/exploding gradient problem. Advanced variants of multilayered perceptrons namely, convolutional neural networks and sequence models are explained, followed by application to different use cases. The book makes extensive use of the Keras and TensorFlow frameworks.
Sie möchten lieber vor Ort einkaufen?
Sie haben Fragen zu diesem oder anderen Produkten oder möchten einfach gerne analog im Laden stöbern? Wir sind gerne für Sie da und beraten Sie auch telefonisch.
Juristische Fachbuchhandlung
Georg Blendl
Parcellistraße 5 (Maxburg)
8033 München
Montag - Freitag: 8:15 -18 Uhr
Samstags geschlossen