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Modern deep learning design and application development : versatile tools to solve deep learning problems /
Learn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation methods, and deep-learning case studies, this book reveals how to acquire the tools you need to design and implement like a deep-learning architect. It covers tools deep learnin...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[New York, NY] :
Apress,
2022.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Chapter 1: A Deep Dive Into Keras
- Chapter 2: Pre-training Strategies and Transfer Learning
- Chapter 3: The Versatility of Autoencoders
- Chapter 4: Model Compression for Practical Deployment
- Chapter 5: Automating Model Design with Meta-Optimization
- Chapter 6:Successful Neural Network Architecture Design
- Chapter 7:Reframing Difficult Deep Learning Problems.