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portada Deep Learning-based Age and Gender Detection
Type
Physical Book
Language
English
Pages
64
Format
Paperback
Dimensions
22.9x15.2x0.4 cm
Weight
0.10 kg.
ISBN13
9786207473120

Deep Learning-based Age and Gender Detection

Mazin Riyadh Al-Hameed (Author) · Fatima Asaad Mohhammed (Author) · LAP Lambert Academic Publishing · Paperback

Deep Learning-based Age and Gender Detection - Al-Hameed, Mazin Riyadh ; Mohhammed, Fatima Asaad

New Book Imported to Taiwan
Delivery: 15 Oct - 23 Oct Shipping: 13 to 14 business days.
NT$ 1,681
NT$ 1,681

Synopsis "Deep Learning-based Age and Gender Detection"

The book "Age and Gender Detection by Python" offers a thorough exploration of age and gender detection methods using Python. It covers fundamental concepts, challenges, and various algorithms like SVM, Random Forests, CNNs, and RNNs. Advanced topics include transfer learning, ensemble methods, and ethical considerations. Practical guidance is provided with coding examples using libraries like OpenCV, scikit-learn, TensorFlow, and Keras. Real-world applications demonstrate the relevance of the discussed techniques. Readers gain expertise in building age and gender recognition systems, benefiting fields like social sciences, marketing, and biometrics.

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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.

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