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Good understanding of deep learning architectures like Multi-Layer Perceptron, Recurrent Neural Networks (RNNs), Long Short Term Memory models (LSTMs), Gated Recurrent Units (GRUs), and Convolutional …
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(paddle) F:\Desktop\PARL-develop\examples\QuickStart>python train.py
[32m[03-23 22:43:02 MainThread @logger.py:242][0m Argv: train.py
[33m[03-23 22:43:04 MainThread @__init__.py:37][0m [5m[33m…
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In the current exercise a neural network is trained on the Diabetes data set. To educate the students on which general use cases exist and which training frameworks would typically be used, I propose …
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**Issue Description:**
### Feature Request
**Summary:**
I propose adding support for parameter groups in MLX to enhance the flexibility and customization of model optimization.
**Details:**
T…
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I tried this maskrcnn model for building segmentation before and it was working, but now it is not.
I installed all the deep learning frameworks following this guide : [https://github.com/Esri/deep-l…
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### Feature Summary
I'd like to contribute to FinVeda by implementing a machine learning module that can predict financial trends, stock prices, and customer behavior. This module will leverage popul…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
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Currently, developers using API in NNTrainer do not have access to tensor data structures.
However, it is inconvenient to handle data without using a tensor data structure.
Since other deep lear…
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What optimization framework can this method be applied? What the difference with supervised learning, and Deep Reinforcement Learning?
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…