Deep Learning Pipeline Building a Deep Learning Model with TensorFlow
Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts. This book shows you how to build a deep learning pipeline for real-life TensorFlow projects. You'll learn what a pipeline is and how it works so you can build a full application easily and r...
| Autores principales: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Berkeley, CA :
Apress
2020.
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| Edición: | 1st ed. 2020. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631951306719 |
Tabla de Contenidos:
- Deep Learning Pipeline Part One: Introduction
- Chapter 1: A Gentle Introduction
- Chapter 2: Setting up Your Environment
- Chapter 3: A Nice Tour Through Deep Learning Pipeline
- Part Two: Data
- Chapter 4: Build your first Toy TensorFlow App
- Chapter 5: Defining Data
- Chapter 6: Data Wrangling and Preprocessing
- Chapter 7: Data Resampling
- Part Three: TensorFlow
- Chapter 8: Feature Selection and Feature Engineering
- Chapter 9: Deep Learning Fundamentals
- Chapter 10: Improving Deep Neural Network
- Chapter 11: Convolutional Neural Networks
- Part Four: Applications and Appendix
- Chapter 12: Sequential Models
- Chapter 13: Selected Topics in Computer vision
- Chapter 14: Selected Topics in Natural Language Processing
- Chapter 15: Applications.
