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latex debug
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lab2/Part2_Debiasing.ipynb

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"2. **Reconstruction loss ($L_{x}{(x,\\hat{x})}$)**: measures how accurately the reconstructed outputs match the input and is given by the $L^1$ norm of the input image and its reconstructed output. \n",
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"\n",
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"The equations for both of these losses are provided below:\n",
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"\n",
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"$$ 2+3 = 5$$\n",
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"\n",
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"$$L_{KL}(\\mu, \\sigma) = \\frac{1}{2}\\sum\\limits_{j=0}^{k-1}\\small{(\\sigma_j + \\mu_j^2 - 1 - \\log{\\sigma_j})}$$\n",
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"\n",
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"$$L_{x}{(x,\\hat{x})} = ||x-\\hat{x}||_1$$\n",
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"\n",
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"Thus for the VAE loss we have:\n",
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"Thus for the VAE loss we have: \n",
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"\n",
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"$$L_{VAE} = c\\cdot L_{KL} + L_{x}{(x,\\hat{x})}$$\n",
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"\n",
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"where $c$ is a weighting coefficient used for regularization. \n",

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