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This book is intended for readers who want to both understand and apply advanced concepts in a field that combines the best of two worlds ¿ deep learning and reinforcement learning ¿ to tap the potential of ¿advanced artificial intelligence¿ for creating real-world applications and game-winning algorithms.
This book is intended for readers who want to both understand and apply advanced concepts in a field that combines the best of two worlds ¿ deep learning and reinforcement learning ¿ to tap the potential of ¿advanced artificial intelligence¿ for creating real-world applications and game-winning algorithms.
Mr. Sewak has been the Lead Data Scientist/Analytics Architect for a number of important international AI/DL/ML software and industry solutions and has also been involved in providing solutions and research for a series of cognitive features for IBM Watson Commerce. He has 14 years of experience working as a solutions architect using technologies like TensorFlow, Torch, Caffe, Theano, Keras, Open AI, SpaCy, Gensim, NLTK, Watson, SPSS, Spark, H2O, Kafka, ES, and others.
Presents comprehensive insights into advanced deep learning concepts like the 'hard attention mechanism'
Introduces algorithms that are slated to become the future of artificial intelligence
Allows readers to gain an understanding of algorithms such as TD Learning and Deep Q Learning, and Asynchronous Advantage Actor-Critic Models
| Erscheinungsjahr: | 2020 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
xvii
203 S. 8 s/w Illustr. 98 farbige Illustr. 203 p. 106 illus. 98 illus. in color. |
| ISBN-13: | 9789811382871 |
| ISBN-10: | 9811382875 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: | Sewak, Mohit |
| Auflage: | 1st ed. 2019 |
| Hersteller: |
Springer Singapore
Springer Nature Singapore |
| Maße: | 235 x 155 x 12 mm |
| Von/Mit: | Mohit Sewak |
| Erscheinungsdatum: | 15.08.2020 |
| Gewicht: | 0,394 kg |
Mr. Sewak has been the Lead Data Scientist/Analytics Architect for a number of important international AI/DL/ML software and industry solutions and has also been involved in providing solutions and research for a series of cognitive features for IBM Watson Commerce. He has 14 years of experience working as a solutions architect using technologies like TensorFlow, Torch, Caffe, Theano, Keras, Open AI, SpaCy, Gensim, NLTK, Watson, SPSS, Spark, H2O, Kafka, ES, and others.
Presents comprehensive insights into advanced deep learning concepts like the 'hard attention mechanism'
Introduces algorithms that are slated to become the future of artificial intelligence
Allows readers to gain an understanding of algorithms such as TD Learning and Deep Q Learning, and Asynchronous Advantage Actor-Critic Models
| Erscheinungsjahr: | 2020 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
xvii
203 S. 8 s/w Illustr. 98 farbige Illustr. 203 p. 106 illus. 98 illus. in color. |
| ISBN-13: | 9789811382871 |
| ISBN-10: | 9811382875 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: | Sewak, Mohit |
| Auflage: | 1st ed. 2019 |
| Hersteller: |
Springer Singapore
Springer Nature Singapore |
| Maße: | 235 x 155 x 12 mm |
| Von/Mit: | Mohit Sewak |
| Erscheinungsdatum: | 15.08.2020 |
| Gewicht: | 0,394 kg |
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