In the seventh blog, when our code running. We should write a number from 0 until 9 to see recognition of the AI. after write the number, close the white board and the code will execute the number. It will … Continue reading →

In the fourth blog, we did the code testing. We tried to run the code with different images of writing as the input. It also to understand the workflow. We also try to find another referenced in the youtube. It … Continue reading →

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 … Continue reading →

In the sixth blog, our code using TensorFlow that implemented in the code library to read and convert images into text. Our code provided by Niek Temme is the basis of our handwriting algorithm. We used MNist database for our … Continue reading →

In the third blog, we tried to run the code. However, the code was not running so well. The code needs environment from TensorFlow. On the first tried we just install the TensorFlow from pycharms libraries, but it could not … Continue reading →

In the second blog, our group already decided to choose Python 3 for coding the language in this project. In python, almost all directory already prepares or easy to install. Furthermore, our group does not really understand what a computer … Continue reading →

17 until 23 October our group decided on the idea for the project, it is about handwriting. Our group focuses on this because the majority of people already know about technologies. It will help other people more easily to write … Continue reading →

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