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@@ -53,7 +53,7 @@ Module 2 spans five full days and begins by introducing core concepts in machine
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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 - NGS)](content/Day5/1.NGS_introductions.pdf); [Notes for the video course: Accelerated NGS)](content/Day5/2.ACC_NGS.pdf) |
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| 5 | [Introduction to Accelerated Genomics (NGS data analysis, GPU introduction)](https://coderefinery.github.io/BioNT_Lesson_Accelerated_Genomics) |
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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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| | [Hands-on session on implementing accelerated Genomics workflows with Parabricks on VM with GPUs](https://coderefinery.github.io/BioNT_Lesson_Accelerated_Genomics/04.Hands-on/) |

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