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42 | 42 | "id": "3eI6DUic-6jo"
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43 | 43 | },
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44 | 44 | "source": [
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45 |
| - "# Copyright 2023 MIT 6.S191 Introduction to Deep Learning. All Rights Reserved.\n", |
| 45 | + "# Copyright 2023 MIT Introduction to Deep Learning. All Rights Reserved.\n", |
46 | 46 | "# \n",
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47 | 47 | "# Licensed under the MIT License. You may not use this file except in compliance\n",
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48 |
| - "# with the License. Use and/or modification of this code outside of 6.S191 must\n", |
49 |
| - "# reference:\n", |
| 48 | + "# with the License. Use and/or modification of this code outside of MIT Introduction\n", |
| 49 | + "# to Deep Learning must reference:\n", |
50 | 50 | "#\n",
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51 |
| - "# © MIT 6.S191: Introduction to Deep Learning\n", |
| 51 | + "# © MIT Introduction to Deep Learning\n", |
52 | 52 | "# http://introtodeeplearning.com\n",
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53 | 53 | "#"
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54 | 54 | ],
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82 | 82 | "%tensorflow_version 2.x\n",
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83 | 83 | "import tensorflow as tf\n",
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84 | 84 | "\n",
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85 |
| - "# Download and import the MIT 6.S191 package\n", |
| 85 | + "# Download and import the MIT Introduction to Deep Learning package\n", |
86 | 86 | "!pip install mitdeeplearning\n",
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87 | 87 | "import mitdeeplearning as mdl\n",
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88 | 88 | "\n",
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206 | 206 | },
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207 | 207 | "source": [
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208 | 208 | "row_vector = matrix[1]\n",
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209 |
| - "column_vector = matrix[:,2]\n", |
210 |
| - "scalar = matrix[1, 2]\n", |
| 209 | + "column_vector = matrix[:,1]\n", |
| 210 | + "scalar = matrix[0, 1]\n", |
211 | 211 | "\n",
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212 | 212 | "print(\"`row_vector`: {}\".format(row_vector.numpy()))\n",
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213 | 213 | "print(\"`column_vector`: {}\".format(column_vector.numpy()))\n",
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