Practical Computer Vision Applications Using Deep Learning with CNNs
With Detailed Examples in Python Using TensorFlow and Kivy
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ISBN-13:
9781484241660
Veröffentl:
2018
Einband:
Paperback
Erscheinungsdatum:
06.12.2018
Seiten:
428
Autor:
Ahmed Fawzy Gad
Gewicht:
800 g
Format:
254x178x24 mm
Sprache:
Englisch
Beschreibung:
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 an image dataset. Along the way you will cover artificial neural networks (ANNs), building one from scratch in Python, before optimizing it using genetic algorithms.
Explains the basic concepts of deep learning using numerical examples
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.
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