This document describes a neural network-based optical character recognition algorithm that can be used to recognize handwritten characters in optical character recognition (OCR) systems. The algorithm uses a convolutional neural network (CNN) to recognize handwritten characters. CNNs are deep learning models that can be used to process data that has a large spatial structure, such as images. CNNs use convolutional layers to extract spatial features from images. These features are then passed to fully connected layers, which are used to identify handwritten characters. The algorithm has been evaluated on public datasets and has shown performance that is comparable to other OCR algorithms.
This manual explains the safe use of the Bosch WFW91250 front‑loading washing machine, covering general safety rules, waste‑disposal guidelines and recommended cleaning practices. It also describes the appliance’s energy‑efficient design and the accessories supplied with the machine.
Detailed sections guide qualified installers through site preparation, transport‑bolt removal, leveling, water and power connections, and required clearances. Users find step‑by‑step operating instructions, program overviews, troubleshooting tips and quick‑reference tables for everyday use.
| Width | 686 mm |
|---|---|
| Depth | 780 mm |
| Height | 940 mm |
| Door opening angle | 180° |
| Weight | ≈ 100 kg |
Release all screws with a SW 13 wrench, then completely remove the transportation safety device (screw, spring, washer, bushing) and store the transport bolts for future moves.
The required clearances are 6 mm on the sides and front, 305 mm at the upper edge, and 64 mm at the rear.
Loosen lock nut 1 with a wrench, rotate the adjustable foot to set the height, then tighten lock nut 1 against the housing.