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* Created using Colaboratory

* Process tutorial notebooks

---------

Co-authored-by: GitHub Action <[email protected]>
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GaganaB and actions-user authored Aug 2, 2023
1 parent d5c9c13 commit 1a7b9b1
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6 changes: 3 additions & 3 deletions tutorials/W1D4_DimensionalityReduction/W1D4_Tutorial1.ipynb
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"\n",
"**Content reviewers:** Roozbeh Farhoudi, Matt Krause, Spiros Chavlis, Richard Gao, Michael Waskom, Siddharth Suresh, Natalie Schaworonkow, Ella Batty\n",
"\n",
"**Production editors:** Spiros Chavlis"
"**Production editors:** Gagana B, Spiros Chavlis"
]
},
{
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" # Normalize vector u\n",
" u = ...\n",
"\n",
" # Calculate vector w that is orthogonal to w\n",
" # Calculate vector w that is orthogonal to u\n",
" w = ...\n",
"\n",
" # Put in matrix form\n",
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" # Normalize vector u\n",
" u = u / np.sqrt(u[0] ** 2 + u[1] ** 2)\n",
"\n",
" # Calculate vector w that is orthogonal to w\n",
" # Calculate vector w that is orthogonal to u\n",
" w = np.array([-u[1], u[0]])\n",
"\n",
" # Put in matrix form\n",
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Expand Up @@ -27,7 +27,7 @@
"\n",
"**Content reviewers:** Roozbeh Farhoudi, Matt Krause, Spiros Chavlis, Richard Gao, Michael Waskom, Siddharth Suresh, Natalie Schaworonkow, Ella Batty\n",
"\n",
"**Production editors:** Spiros Chavlis"
"**Production editors:** Gagana B, Spiros Chavlis"
]
},
{
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" # Normalize vector u\n",
" u = ...\n",
"\n",
" # Calculate vector w that is orthogonal to w\n",
" # Calculate vector w that is orthogonal to u\n",
" w = ...\n",
"\n",
" # Put in matrix form\n",
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" # Normalize vector u\n",
" u = u / np.sqrt(u[0] ** 2 + u[1] ** 2)\n",
"\n",
" # Calculate vector w that is orthogonal to w\n",
" # Calculate vector w that is orthogonal to u\n",
" w = np.array([-u[1], u[0]])\n",
"\n",
" # Put in matrix form\n",
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Expand Up @@ -15,7 +15,7 @@ def define_orthonormal_basis(u):
# Normalize vector u
u = u / np.sqrt(u[0] ** 2 + u[1] ** 2)

# Calculate vector w that is orthogonal to w
# Calculate vector w that is orthogonal to u
w = np.array([-u[1], u[0]])

# Put in matrix form
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Expand Up @@ -27,7 +27,7 @@
"\n",
"**Content reviewers:** Roozbeh Farhoudi, Matt Krause, Spiros Chavlis, Richard Gao, Michael Waskom, Siddharth Suresh, Natalie Schaworonkow, Ella Batty\n",
"\n",
"**Production editors:** Spiros Chavlis"
"**Production editors:** Gagana B, Spiros Chavlis"
]
},
{
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" # Normalize vector u\n",
" u = ...\n",
"\n",
" # Calculate vector w that is orthogonal to w\n",
" # Calculate vector w that is orthogonal to u\n",
" w = ...\n",
"\n",
" # Put in matrix form\n",
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"execution": {}
},
"source": [
"[*Click for solution*](https://github.com/NeuromatchAcademy/course-content/tree/main/tutorials/W1D4_DimensionalityReduction/solutions/W1D4_Tutorial1_Solution_25e1d102.py)\n",
"[*Click for solution*](https://github.com/NeuromatchAcademy/course-content/tree/main/tutorials/W1D4_DimensionalityReduction/solutions/W1D4_Tutorial1_Solution_590fa120.py)\n",
"\n",
"*Example output:*\n",
"\n",
"<img alt='Solution hint' align='left' width=379.0 height=378.0 src=https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/tutorials/W1D4_DimensionalityReduction/static/W1D4_Tutorial1_Solution_25e1d102_0.png>\n",
"<img alt='Solution hint' align='left' width=379.0 height=378.0 src=https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/tutorials/W1D4_DimensionalityReduction/static/W1D4_Tutorial1_Solution_590fa120_0.png>\n",
"\n"
]
},
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