Sanjaya, Eko (2018) Prediction Maker For Handwriting Recognition Using Keras. Technical Report. studentstaff5, Perpustakaan Institut Teknologi Telkom Purwokerto. (Unpublished)
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Abstract
On the practice of fieldwork in Yogyakarta carried out 247 manufacturing SOLUTIONS, the author receives the Deep Learning project Hardly is part of the Artificial Intelligence system Deep learning changes the way of looking at technology. There is a lot of excitement around Artificial Intelligence (AI) along with its branches namely Machine Learning (ML) and Deep Learning at the moment. With a large amount of computing power, the machine can now recognize objects and interpret objects directly such as handwriting recognition or Handwriting Recognition. Handwriting recognition requires several processes between the dataset, making models and making predictions. The dataset is the process of grouping data according to need, the dataset is divided into 2, namely 70% trining data and 30% testing data. In deep learning multi-layered representation is studied through a model called neural networks, the structure of layers is always stacked on top of one another. A good model must have an accuracy value between 80% - 90%. Prediction is predicting a new image with the help of a model. The prediction results depend on the accuracy of the model and the image processing process. Ke Word Handwriting recognition, Artificial Intelligence, Machine Learning, Deep Learning, Dataet, Model, Predii
| Item Type: | Monograph (Technical Report) |
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| Subjects: | T Technology > T Technology (General) |
| Divisions: | Faculty of Industrial Engineering and Informatics > Informatics Engineering |
| Depositing User: | KinatJr |
| Date Deposited: | 11 Mar 2019 08:01 |
| Last Modified: | 11 Mar 2019 08:01 |
| URI: | http://repository.ittelkom-pwt.ac.id/id/eprint/5304 |
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