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1. Introduction 2. Recognition in Computer Vision 3. Artificial Neural Network 4. Classification using ANN with Engineered Features 5. ANN Parameters Optimization 6. Convolutional Neural Networks 7. TensorFlow Recognition Application 8. Deploying Pre-Trained Models 9. Cross-Platform Data Science...
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1. Introduction 2. Recognition in Computer Vision 3. Artificial Neural Network 4. Classification using ANN with Engineered Features 5. ANN Parameters Optimization 6. Convolutional Neural Networks 7. TensorFlow Recognition Application 8. Deploying Pre-Trained Models 9. Cross-Platform Data Science Applications. Appendix: Uploading Projects to PyPI
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- Wydawnictwo: Springer, Berlin
- Kod:
- Rok wydania: 2019
- Język: Angielski
- Oprawa: Brožovaná / brožovaná
- Szerokość opakowania: 15.5 cm
- Wysokość opakowania: 23.5 cm
- Głębokość opakowania: 2.5 cm
- Waga: 816 g
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