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@@ -52,7 +52,7 @@ Module 2 spans five full days and begins by introducing core concepts in machine
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| | [Hands-on session: ML workflow with biological data](https://naicno.github.io/BioNT_Module2_handson/3.ML_workflow/) |
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| 4 | [Introduction to deep learning (Basic concepts of Neural Networks - NN; Simple NN with PyTorch)](Day4/introduction_to_deep_learning.pdf) |
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| | [Hands-on session demonstrating deep-learning-based variant calling via DeepVariant](https://naicno.github.io/BioNT_Module2_handson/4.DeepVariant/) |
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| 5 | Notes for the video course: [Introduction to Accelerated Genomics](content/Day5/Introduction_to_Accelerated_Genomics.pdf) |
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| 5 | Notes for the video course: [Introduction to Accelerated Genomics](Day5/Introduction_to_Accelerated_Genomics.pdf) |
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| | [Introduction to Accelerated Genomics (NGS data analysis, GPU introduction)](https://coderefinery.github.io/BioNT_Lesson_Accelerated_Genomics) |
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| | [GPU introduction](https://coderefinery.github.io/BioNT_Lesson_Accelerated_Genomics) |
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| | [Docker introduction](https://training.pages.sigma2.no/tutorials/gpu-intro/) |

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