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- ISBN 10 7517098675
- ISBN 13 9787517098676
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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)
Edité par
China Water Conservancy and Hydropower Press, 2022
ISBN 10 : 7517098675
ISBN 13 : 9787517098676
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paperback
Vendeur : liu xing, Nanjing, JS, Chine
Évaluation du vendeur 5 sur 5 étoiles
paperback. Etat : 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. N° de réf. du vendeur NX030562
Quantité disponible : 1 disponible(s)
Image d'archives
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)
Edité par
China Water Conservancy and Hydropower Press, 2022
ISBN 10 : 7517098675
ISBN 13 : 9787517098676
Neuf
paperback
Vendeur : liu xing, Nanjing, JS, Chine
Évaluation du vendeur 5 sur 5 étoiles
paperback. Etat : 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. N° de réf. du vendeur AMZ095341_NX030562_095341
Quantité disponible : 3 disponible(s)