Building computer vision applications using artificial neural networks : with step-by-step Eeamples in OpenCV and TensorFlow with Python /
Apply computer vision and machine learning concepts in developing business and industrial applications using a practical, step-by-step approach. The book comprises four main sections starting with setting up your programming environment and configuring your computer with all the prerequisites to run...
Clasificación: | Libro Electrónico |
---|---|
Autor principal: | Ansari, Shamshad |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berkeley, CA :
Apress,
2020.
|
Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Ejemplares similares
-
Understanding convolutional neural networks (CNNs) : learn how to implement CNNs to generate visualizations /
Publicado: (2017) -
Analog VLSI circuits for the perception of visual motion /
por: Stocker, Alan A.
Publicado: (2006) -
Practical Convolutional Neural Networks : Implement advanced deep learning models using Python /
por: Karim, Md. Rezaul
Publicado: (2018) -
Artificial vision and language processing for robotics : create end-to-end systems that can power robots with artificial vision and deep learning techniques /
por: Morena Alberola, Álvaro, et al.
Publicado: (2019) -
Artificial vision and language processing for robotics : create end-to-end systems that can power robots with artificial vision and deep learning techniques /
por: Morena Alberola, Álvaro, et al.
Publicado: (2019)