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Merge pull request #7 from neuromatch/add-bonus-template
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rename image for W1D2 Art, start on bonus
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iamzoltan authored Dec 11, 2023
2 parents 95241c6 + d723c5c commit b0970bf
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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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"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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"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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"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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"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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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.17"
"version": "3.9.18"
}
},
"nbformat": 4,
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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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"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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"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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## 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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