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Update how_sr3_works.ipynb
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guide/14-deep-learning/how_sr3_works.ipynb

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"* `linear_start` - Optional integer. schedule start. default set to `1e-05`.\n",
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"* `linear_end` - Optional integer. schedule end. default set to `1e-02`.\n",
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"\n",
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"Default values are set for 64 -> 256 upscale tasks. Number of res blocks can be decreased when 'out-of-memory' issue is encountered. Optimal results are generally obtained, if trained for atleast 200-300 epochs provided there is adequate amount of data.\n",
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"#### recommendations:\n",
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"- Default values are set for 64 -> 256 upscale tasks. for landsat/sentinel or coarser resolution tasks, values from 64 -> 512 task gives better results.\n",
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"- Number of res blocks can be decreased if 'out-of-memory' issue is encountered. \n",
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"- Optimal results are generally obtained, if trained for atleast 200-300 epochs provided there is adequate amount of data.\n",
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"- Its observed that larger norm_groups often cause hue deviation, decreasing often fixes the issue. \n",
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"\n",
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"Here, `data` is the object returned from `prepare_data` function. \n",
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"\n",

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