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Inside deep learning : math, algorithms, models /
Journey through the theory and practice of modern deep learning, and apply innovative techniques to solve everyday data problems. In Inside Deep Learning, you will learn how to: Implement deep learning with PyTorch Select the right deep learning components Train and evaluate a deep learning model Fi...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Shelter Island :
Manning Publications,
[2022]
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- The mechanics of learning
- Fully connected networks
- Convolutional neural networks
- Recurrent neural networks
- Modern training techniques
- Common design building blocks
- Autoencoding and self-supervision
- Object detection
- Generative adversarial networks
- Attention mechanisms
- Sequence-to-sequence
- Network design alternatives to RNNs
- Transfer learning
- Advanced building blocks.