Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python

© Shamshad Ansari 2020

S. AnsariBuilding Computer Vision Applications Using Artificial Neural Networkshttps://doi.org/10.1007/978-1-4842-5887-3_10

10. Computer Vision Modeling on the Cloud

Shamshad Ansari¹ 

(1)

Centreville, VA, USA

 

Training state-of-the-art convolutional neural networks can require significant computer resources. It may take several hours or days to train a network depending on the number of training samples, network configuration, and available hardware resources. A single GPU may not be feasible to train a complex network involving large numbers of training images. The models need to be trained on multiple GPUs. Only a limited number of GPUs can be installed on a single machine. A single machine with multiple GPUs may not be sufficient ...