Machine Learning with TensorFlow
Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Summary Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Ed...
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Shelter Island, New York :
Manning
[2020]
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| Edición: | Second edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631303506719 |
Tabla de Contenidos:
- Part 1. Your machine-learning rig. 1. A machine-learning odyssey
- 2. TensorFlow essentials
- Part 2. Core learning algorithms. 3. Linear regression and beyond
- 4. Using regression for call-center volume prediction
- 5. A gentle introduction to classification
- 6. Sentiment classification : large movie-review dataset
- 7. Automatically clustering data
- 8. Inferring user activity from Android accelerometer data
- 9. Hidden Markov models
- 10. Part-of-speech tagging and word-sense disambiguation
- Part 3. The neural network paradigm. 11. A peek into autoencoders
- 12. Applying autoencoders: the CIFAR-10 image dataset
- 13. Reinforcement learning
- 14. Convolutional neural networks
- 15. Building a real-world CNN: VGG-Face and VGG-Face Lite
- 16. Recurrent neural networks
- 17. LSTMs and automatic speech recognition
- 18. Sequence=to-sequence models for chatbots
- 19. Utility landscape.
