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Deep learning : a practitioner's approach /
How can machine learning--especially deep neural networks--make a real difference in your organization? This hands-on guide not only provides practical information, but helps you get started building efficient deep learning networks. The authors provide the fundamentals of deep learning--tuning, par...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, CA :
O'Reilly Media, Inc.,
2017.
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| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- A review of machine learning
- Foundations of neural networks and deep learning
- Fundamentals of deep networks
- Major architecture of deep networks
- Building deep networks
- Tuning deep networks
- Tuning specific deep network architectures
- Vectorization
- Using deep learning and DL4J on Spark
- What is artificial intelligence?
- RL4J and reinforcement learning
- Numbers everyone should know
- Neural networks and backpropagation: a mathematical approach
- Using the ND4J API
- Using DataVec
- Working with DL4J from source
- Setting up DL4J projects
- Setting up GPUs for DL4J projects
- Troubleshooting DL4J installations.