|
42 | 42 | "id": "3eI6DUic-6jo" |
43 | 43 | }, |
44 | 44 | "source": [ |
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", |
47 | 47 | "# Licensed under the MIT License. You may not use this file except in compliance\n", |
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", |
51 | | - "# © MIT 6.S191: Introduction to Deep Learning\n", |
| 51 | + "# © MIT Introduction to Deep Learning\n", |
52 | 52 | "# http://introtodeeplearning.com\n", |
53 | 53 | "#" |
54 | 54 | ], |
|
82 | 82 | "%tensorflow_version 2.x\n", |
83 | 83 | "import tensorflow as tf\n", |
84 | 84 | "\n", |
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", |
87 | 87 | "import mitdeeplearning as mdl\n", |
88 | 88 | "\n", |
|
206 | 206 | }, |
207 | 207 | "source": [ |
208 | 208 | "row_vector = matrix[1]\n", |
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", |
212 | 212 | "print(\"`row_vector`: {}\".format(row_vector.numpy()))\n", |
213 | 213 | "print(\"`column_vector`: {}\".format(column_vector.numpy()))\n", |
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