Articoli correlati a 深度学习实战 基&#x...
- ISBN 10 7517098675
- ISBN 13 9787517098676
- RilegaturaCopertina flessibile
- LinguaCinese
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Deep learning combat: computer vision development and application based on TensorFlow 2.X hands-on learning python deep learning artificial intelligence machine learning reinforcement learning neural network linux introductory books and textbooks intelligent risk control(Chinese Edition)
Editore:
China Water Conservancy and Hydropower Press, 2022
ISBN 10: 7517098675
ISBN 13: 9787517098676
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Da: liu xing, Nanjing, JS, Cina
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paperback. Condizione: New. Language:Chinese.Paperback.Pub Date:2022-06-01 Pages:320 Publisher:China Water Resources and Hydropower Press Deep Learning Practice: Computer Vision Development and Application Based on TensorFlow 2.X starts from the construction of the environment and the basic grammar of TensorFlow 2.X . and gradually go deep into the theory and practical application of algorithm models in the field of computer vision. and focus on how to use the TensorFlow 2.X framework to implement various classic deep l. Codice articolo NX030562
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Foto dell'editore
Deep learning combat: computer vision development and application based on TensorFlow 2.X hands-on learning python deep learning artificial intelligence machine learning reinforcement learning neural network linux introductory books and textbooks intelligent risk control(Chinese Edition)
Editore:
China Water Conservancy and Hydropower Press, 2022
ISBN 10: 7517098675
ISBN 13: 9787517098676
Nuovo
paperback
Da: liu xing, Nanjing, JS, Cina
Valutazione del venditore 5 su 5 stelle
paperback. Condizione: New. Language:Chinese.Paperback.Pub Date:2022-06-01 Pages:320 Publisher:China Water Resources and Hydropower Press Deep Learning Practice: Computer Vision Development and Application Based on TensorFlow 2.X starts from the construction of the environment and the basic grammar of TensorFlow 2.X . and gradually go deep into the theory and practical application of algorithm models in the field of computer vision. and focus on how to use the TensorFlow 2.X framework to implement various classic deep l. Codice articolo AMZ095341_NX030562_095341
Quantità: 3 disponibili