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Process tutorial notebooks
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actions-user committed Dec 11, 2023
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2 changes: 1 addition & 1 deletion tutorials/Bonus_BonusContent/Bonus_Intro.ipynb
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.17"
"version": "3.9.18"
}
},
"nbformat": 4,
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2 changes: 1 addition & 1 deletion tutorials/Bonus_BonusContent/Bonus_Outro.ipynb
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.17"
"version": "3.9.18"
}
},
"nbformat": 4,
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2 changes: 1 addition & 1 deletion tutorials/Bonus_BonusContent/Bonus_Tutorial1.ipynb
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.17"
"version": "3.9.18"
}
},
"nbformat": 4,
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2 changes: 1 addition & 1 deletion tutorials/Bonus_BonusContent/Bonus_Tutorial2.ipynb
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.17"
"version": "3.9.18"
}
},
"nbformat": 4,
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2 changes: 1 addition & 1 deletion tutorials/Bonus_BonusContent/Bonus_Tutorial3.ipynb
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.17"
"version": "3.9.18"
}
},
"nbformat": 4,
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4 changes: 2 additions & 2 deletions tutorials/Bonus_BonusContent/instructor/Bonus_Intro.ipynb
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"source": [
"## Overview\n",
"\n",
"This is a bonus day on Autoencoders. Autoencoders are a form of deep neural network that performs nonlinear dimensionality reduction."
"This is an example bonus day on \"topic\". Short topic desctription goes here. Below is example content from our comp neuro course. Please free to use it as a template for your Bonus Tutorials."
]
},
{
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.17"
"version": "3.9.18"
}
},
"nbformat": 4,
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2 changes: 1 addition & 1 deletion tutorials/Bonus_BonusContent/instructor/Bonus_Outro.ipynb
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.17"
"version": "3.9.18"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.17"
"version": "3.9.18"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.17"
"version": "3.9.18"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.17"
"version": "3.9.18"
}
},
"nbformat": 4,
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4 changes: 2 additions & 2 deletions tutorials/Bonus_BonusContent/student/Bonus_Intro.ipynb
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"source": [
"## Overview\n",
"\n",
"This is a bonus day on Autoencoders. Autoencoders are a form of deep neural network that performs nonlinear dimensionality reduction."
"This is an example bonus day on \"topic\". Short topic desctription goes here. Below is example content from our comp neuro course. Please free to use it as a template for your Bonus Tutorials."
]
},
{
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.17"
"version": "3.9.18"
}
},
"nbformat": 4,
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2 changes: 1 addition & 1 deletion tutorials/Bonus_BonusContent/student/Bonus_Outro.ipynb
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Expand Up @@ -196,7 +196,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.17"
"version": "3.9.18"
}
},
"nbformat": 4,
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12 changes: 6 additions & 6 deletions tutorials/Bonus_BonusContent/student/Bonus_Tutorial1.ipynb
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"execution": {}
},
"source": [
"[*Click for solution*](https://github.com/NeuromatchAcademy/course-content/tree/main/tutorials/Bonus_Autoencoders/solutions/Bonus_Tutorial1_Solution_c05ddd88.py)\n",
"[*Click for solution*](https://github.com/neuromatch/course-content-template/tree/main/tutorials/Bonus_BonusContent/solutions/Bonus_Tutorial1_Solution_c05ddd88.py)\n",
"\n",
"*Example output:*\n",
"\n",
"<img alt='Solution hint' align='left' width=1127.0 height=578.0 src=https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/tutorials/Bonus_Autoencoders/static/Bonus_Tutorial1_Solution_c05ddd88_0.png>\n",
"<img alt='Solution hint' align='left' width=1132.0 height=575.0 src=https://raw.githubusercontent.com/neuromatch/course-content-template/main/tutorials/Bonus_BonusContent/static/Bonus_Tutorial1_Solution_c05ddd88_0.png>\n",
"\n"
]
},
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"execution": {}
},
"source": [
"[*Click for solution*](https://github.com/NeuromatchAcademy/course-content/tree/main/tutorials/Bonus_Autoencoders/solutions/Bonus_Tutorial1_Solution_e7182519.py)\n",
"[*Click for solution*](https://github.com/neuromatch/course-content-template/tree/main/tutorials/Bonus_BonusContent/solutions/Bonus_Tutorial1_Solution_e7182519.py)\n",
"\n"
]
},
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"execution": {}
},
"source": [
"[*Click for solution*](https://github.com/NeuromatchAcademy/course-content/tree/main/tutorials/Bonus_Autoencoders/solutions/Bonus_Tutorial1_Solution_9d6c1017.py)\n",
"[*Click for solution*](https://github.com/neuromatch/course-content-template/tree/main/tutorials/Bonus_BonusContent/solutions/Bonus_Tutorial1_Solution_9d6c1017.py)\n",
"\n",
"*Example output:*\n",
"\n",
"<img alt='Solution hint' align='left' width=775.0 height=575.0 src=https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/tutorials/Bonus_Autoencoders/static/Bonus_Tutorial1_Solution_9d6c1017_11.png>\n",
"<img alt='Solution hint' align='left' width=775.0 height=575.0 src=https://raw.githubusercontent.com/neuromatch/course-content-template/main/tutorials/Bonus_BonusContent/static/Bonus_Tutorial1_Solution_9d6c1017_11.png>\n",
"\n"
]
},
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.17"
"version": "3.9.18"
}
},
"nbformat": 4,
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6 changes: 3 additions & 3 deletions tutorials/Bonus_BonusContent/student/Bonus_Tutorial2.ipynb
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"execution": {}
},
"source": [
"[*Click for solution*](https://github.com/NeuromatchAcademy/course-content/tree/main/tutorials/Bonus_Autoencoders/solutions/Bonus_Tutorial2_Solution_0d50004f.py)\n",
"[*Click for solution*](https://github.com/neuromatch/course-content-template/tree/main/tutorials/Bonus_BonusContent/solutions/Bonus_Tutorial2_Solution_0d50004f.py)\n",
"\n"
]
},
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"execution": {}
},
"source": [
"[*Click for solution*](https://github.com/NeuromatchAcademy/course-content/tree/main/tutorials/Bonus_Autoencoders/solutions/Bonus_Tutorial2_Solution_f82e3b9c.py)\n",
"[*Click for solution*](https://github.com/neuromatch/course-content-template/tree/main/tutorials/Bonus_BonusContent/solutions/Bonus_Tutorial2_Solution_f82e3b9c.py)\n",
"\n"
]
},
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.17"
"version": "3.9.18"
}
},
"nbformat": 4,
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4 changes: 2 additions & 2 deletions tutorials/Bonus_BonusContent/student/Bonus_Tutorial3.ipynb
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"execution": {}
},
"source": [
"[*Click for solution*](https://github.com/NeuromatchAcademy/course-content/tree/main/tutorials/Bonus_Autoencoders/solutions/Bonus_Tutorial3_Solution_22e2c431.py)\n",
"[*Click for solution*](https://github.com/neuromatch/course-content-template/tree/main/tutorials/Bonus_BonusContent/solutions/Bonus_Tutorial3_Solution_22e2c431.py)\n",
"\n"
]
},
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.17"
"version": "3.9.18"
}
},
"nbformat": 4,
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8 changes: 0 additions & 8 deletions tutorials/README.md
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Expand Up @@ -8,10 +8,6 @@

## W1D1 - Instructions

[YouTube Playlist](https://www.youtube.com/playlist?list=PLkBQOLLbi18ObAiSOZ42YBwOQIKNvspeI)

Slides: [Intro](https://mfr.ca-1.osf.io/render?url=https://osf.io/rbx2a/?direct%26mode=render%26action=download%26mode=render) | [Tutorials](https://mfr.ca-1.osf.io/render?url=https://osf.io/6dxwe/?direct%26mode=render%26action=download%26mode=render) | [DaySummary](https://mfr.ca-1.osf.io/render?url=https://osf.io/jdumz/?direct%26mode=render%26action=download%26mode=render) | [Outro](https://mfr.ca-1.osf.io/render?url=https://osf.io/9hkg2/?direct%26mode=render%26action=download%26mode=render) | [Reading](https://mfr.ca-1.osf.io/render?url=https://osf.io/2esh5/?direct%26mode=render%26action=download%26mode=render) | [TA](https://mfr.ca-1.osf.io/render?url=https://osf.io/5vj73/?direct%26mode=render%26action=download%26mode=render)

| | Run | Run | View |
| - | --- | --- | ---- |
| Intro | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/neuromatch/course-content-template/blob/main/tutorials/W1D1_Instructions/W1D1_Intro.ipynb) | [![Open In kaggle](https://kaggle.com/static/images/open-in-kaggle.svg)](https://kaggle.com/kernels/welcome?src=https://raw.githubusercontent.com/neuromatch/course-content-template/main/tutorials/W1D1_Instructions/W1D1_Intro.ipynb) | [![View the notebook](https://img.shields.io/badge/render-nbviewer-orange.svg)](https://nbviewer.jupyter.org/github/neuromatch/course-content-template/blob/main/tutorials/W1D1_Instructions/W1D1_Intro.ipynb?flush_cache=true) |
Expand All @@ -29,10 +25,6 @@ Slides: [Intro](https://mfr.ca-1.osf.io/render?url=https://osf.io/rbx2a/?direct%

## W1D2 - Template

[YouTube Playlist](https://www.youtube.com/playlist?list=PLkBQOLLbi18ObAiSOZ42YBwOQIKNvspeI)

Slides: [Intro](https://mfr.ca-1.osf.io/render?url=https://osf.io/rbx2a/?direct%26mode=render%26action=download%26mode=render) | [Tutorials](https://mfr.ca-1.osf.io/render?url=https://osf.io/6dxwe/?direct%26mode=render%26action=download%26mode=render) | [DaySummary](https://mfr.ca-1.osf.io/render?url=https://osf.io/jdumz/?direct%26mode=render%26action=download%26mode=render) | [Outro](https://mfr.ca-1.osf.io/render?url=https://osf.io/9hkg2/?direct%26mode=render%26action=download%26mode=render) | [Reading](https://mfr.ca-1.osf.io/render?url=https://osf.io/2esh5/?direct%26mode=render%26action=download%26mode=render) | [TA](https://mfr.ca-1.osf.io/render?url=https://osf.io/5vj73/?direct%26mode=render%26action=download%26mode=render)

| | Run | Run | View |
| - | --- | --- | ---- |
| Intro | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/neuromatch/course-content-template/blob/main/tutorials/W1D2_Template/W1D2_Intro.ipynb) | [![Open In kaggle](https://kaggle.com/static/images/open-in-kaggle.svg)](https://kaggle.com/kernels/welcome?src=https://raw.githubusercontent.com/neuromatch/course-content-template/main/tutorials/W1D2_Template/W1D2_Intro.ipynb) | [![View the notebook](https://img.shields.io/badge/render-nbviewer-orange.svg)](https://nbviewer.jupyter.org/github/neuromatch/course-content-template/blob/main/tutorials/W1D2_Template/W1D2_Intro.ipynb?flush_cache=true) |
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4 changes: 3 additions & 1 deletion tutorials/W1D1_Instructions/W1D1_Tutorial4.ipynb
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},
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"execution": {}
},
"source": [
"Steps:\n",
"- Decide on the format for your wrap up\n",
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