Scaling Tabscanner’s OCR Models with Multi-GPU and TPU Architectures
Tabscanner processes millions of receipts daily, which means its convolutional neural network (CNN) models need to continually improve to maintain exceptional accuracy and efficiency. With massive datasets and a commitment to constant model refinement, traditional single-machine training approaches fall short. Distributed training in TensorFlow provides the tools to scale model development using multi-GPU and TPU […]