LasalJayawardena/RNN-Projects
Projects which use RNNs, and advanced implementations such as LSTMs and GRUs.
This collection of projects helps machine learning engineers and data scientists explore practical applications of recurrent neural networks. It takes various forms of sequential data, like text, images, or time series, and generates predicted sequences or classifications. The ideal end-user is a developer or researcher looking for hands-on examples to build AI models.
No commits in the last 6 months.
Use this if you are a machine learning practitioner looking for working code examples of RNNs, LSTMs, and GRUs for tasks like language translation, text generation, image classification, or time series prediction.
Not ideal if you are looking for a plug-and-play application or a non-technical tool to solve a specific business problem without writing code.
Stars
11
Forks
3
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 05, 2022
Commits (30d)
0
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