Angular and Deep Learning Pocket Primer
Angular and Deep Learning Pocket Primer, De Gruyter
Von Oswald Campesato, im heise shop in digitaler Fassung erhältlich
Von Oswald Campesato, im heise shop in digitaler Fassung erhältlich
Produktinformationen "Angular and Deep Learning Pocket Primer"
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Das E-Book Angular and Deep Learning Pocket Primer wird angeboten von De Gruyter und wurde mit folgenden Begriffen kategorisiert:
Programming,Artificial Intelligence Campesato Oswald :
Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).
1: Quick Introduction to Angular
2: UI Controls, User Input, and Pipes
3: Forms and Services
4: Deep Learning Introduction
5: Deep Learning: RNNs and LSTMs
6: Angular and TensorFlow.js
Appendices:
A. Introduction to Keras
B. Introduction to TensorFlow 2
C. TensorFlow 2 Datasets
Index
Das E-Book Angular and Deep Learning Pocket Primer wird angeboten von De Gruyter und wurde mit folgenden Begriffen kategorisiert:
Programming,Artificial Intelligence Campesato Oswald :
Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).
1: Quick Introduction to Angular
2: UI Controls, User Input, and Pipes
3: Forms and Services
4: Deep Learning Introduction
5: Deep Learning: RNNs and LSTMs
6: Angular and TensorFlow.js
Appendices:
A. Introduction to Keras
B. Introduction to TensorFlow 2
C. TensorFlow 2 Datasets
Index
Artikel-Details
- Anbieter:
- De Gruyter
- Autor:
- Oswald Campesato
- Artikelnummer:
- 9781683924715
- Veröffentlicht:
- 27.10.20