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○ Time: 6 weeks
○ Tools Required: Scikit-learn, TensorFlow, PyTorch (within Azure AI Studio or Microsoft Fabric)
○ Steps:
1. Define model requirements and objectives.
□ Utilize histor…
zepor updated
1 month ago
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Suggested list of courses would be:
- An introduction to deep learning **
- How to train a neural network
- Regularisation in neural networks
- Deep Bayesian neural networks
- Conv…
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您好,请问您数据集有划分dev集么?
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## ❓ Questions & Help
Hello,I try to run the benchmarks for graph classification.I don't know how to use the benchmarks.
For example, I want to reproduce the SAGPool in D&D dataset like #859.
F…
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Hey,
do you think, I should use cross-validation of my trainingdata while fine-tune a model for semantic search (and simalirity task)?
Surprisingly I always ignored this...
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### Search before asking
- [X] I have searched the YOLOv5 [issues](https://github.com/ultralytics/yolov5/issues) and found no similar bug report.
### YOLOv5 Component
Other
### Bug
I …
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Perhaps this is because I come from a Tensorflow/Keras background and I'm not familiar with PyTorch, but the main entry point for the code for inference and for training is not clear to me. I've looke…
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- [x] Try 3-4 methods/techniques to create the best model for predicting expected goals.
- [x] Generate figures and include links
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There are not so many machines that can handle all the data in memory. We need to find a way to deal with this issue. There are many materials online which show how it can be achieved in tensorflow (p…