Practical Computer Vision Applications Using Deep Learning with CNNs With Detailed Examples in Python Using TensorFlow and Kivy
Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze...
Autor principal: | |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Berkeley, CA :
Apress
2018.
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Edición: | 1st ed. 2018. |
Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630486806719 |
Tabla de Contenidos:
- 1. Recognition in Computer Vision
- 2. Artificial Neural Network
- 3. Classification using ANN with Engineered Features
- 4. ANN Parameters Optimization
- 5. Convolutional Neural Networks
- 6. TensorFlow Recognition Application
- 7. Deploying Pre-Trained Models
- 8. Cross-Platform Data Science Applications.Appendix: Uploading Projects to PyPI.