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24 | 24 | "source": [
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25 | 25 | "<table align=\"center\">\n",
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26 | 26 | " <td align=\"center\"><a target=\"_blank\" href=\"http://introtodeeplearning.com\">\n",
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27 |
| - " <img src=\"http://introtodeeplearning.com/images/colab/mit.png\" style=\"padding-bottom:5px;\" />\n", |
| 27 | + " <img src=\"https://i.ibb.co/Jr88sn2/mit.png\" style=\"padding-bottom:5px;\" />\n", |
28 | 28 | " Visit MIT Deep Learning</a></td>\n",
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29 | 29 | " <td align=\"center\"><a target=\"_blank\" href=\"https://colab.research.google.com/github/aamini/introtodeeplearning/blob/master/lab1/Part1_TensorFlow.ipynb\">\n",
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30 |
| - " <img src=\"http://introtodeeplearning.com/images/colab/colab.png?v2.0\" style=\"padding-bottom:5px;\" />Run in Google Colab</a></td>\n", |
| 30 | + " <img src=\"https://i.ibb.co/ykzt1q7/colab.png\" style=\"padding-bottom:5px;\" />Run in Google Colab</a></td>\n", |
31 | 31 | " <td align=\"center\"><a target=\"_blank\" href=\"https://github.com/aamini/introtodeeplearning/blob/master/lab1/Part1_TensorFlow.ipynb\">\n",
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32 |
| - " <img src=\"http://introtodeeplearning.com/images/colab/github.png\" height=\"70px\" style=\"padding-bottom:5px;\" />View Source on GitHub</a></td>\n", |
| 32 | + " <img src=\"https://i.ibb.co/xfJbPmL/github.png\" height=\"70px\" style=\"padding-bottom:5px;\" />View Source on GitHub</a></td>\n", |
33 | 33 | "</table>\n",
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34 | 34 | "\n",
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| 35 | + "\n", |
35 | 36 | "# Copyright Information\n"
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36 | 37 | ]
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37 | 38 | },
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69 | 70 | "\n",
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70 | 71 | "## 0.1 Install TensorFlow\n",
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71 | 72 | "\n",
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72 |
| - "TensorFlow is a software library extensively used in machine learning. Here we'll learn how computations are represented and how to define a simple neural network in TensorFlow. For all the labs in 6.S191 2020, we'll be using the latest version of TensorFlow, TensorFlow 2, which affords great flexibility and the ability to imperatively execute operations, just like in Python. You'll notice that TensorFlow 2 is quite similar to Python in its syntax and imperative execution. Let's install TensorFlow and a couple of dependencies.\n" |
| 73 | + "TensorFlow is a software library extensively used in machine learning. Here we'll learn how computations are represented and how to define a simple neural network in TensorFlow. For all the labs in 6.S191 2021, we'll be using the latest version of TensorFlow, TensorFlow 2, which affords great flexibility and the ability to imperatively execute operations, just like in Python. You'll notice that TensorFlow 2 is quite similar to Python in its syntax and imperative execution. Let's install TensorFlow and a couple of dependencies.\n" |
73 | 74 | ]
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74 | 75 | },
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75 | 76 | {
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