In the fifth blog, Our project uses three algorithms to recognize handwriting which are Convolutional neural networks (CNN), recurrent neural networks (RNN)  and a Connectionist Temporal Classification. CNN algorithm used to identify the relevant parts of the fed image. The output will downsize the image. RNN will identify the relevant information of the sequence from the output. At the same time when RNN running will output matrix. It used for CTC which will use the text on the ground to calculate the value of the loss.