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 <tr><th>#</th><th>Lesson</th><th>概要</th><th>PyTorch</th><th>Keras/TensorFlow</th><th>ラボ</th></tr>
 
 <tr><td>I</td><td colspan="4"><b>AIについての概要</b></td><td></td></tr>
-<tr><td>1</td><td>AIの概要と歴史</td><td><a href="lessons/1-Intro/translations/README.ja.md">Text</a></td><td></td><td></td><td></td></tr>
+<tr><td>1</td><td>AIの概要と歴史</td><td><a href="../lessons/1-Intro/translations/README.ja.md">Text 🇯🇵</a></td><td></td><td></td><td></td></tr>
 
 <tr><td>II</td><td colspan="4"><b>シンボリックAI</b></td><td></td></tr>
-<tr><td>2 </td><td>知識表現とエキスパートシステム</td><td><a href="lessons/2-Symbolic/README.md">Text</a></td><td colspan="2"><a href="lessons/2-Symbolic/Animals.ipynb">エキスパートシステム</a>, <a href="lessons/2-Symbolic/FamilyOntology.ipynb">Ontology</a>, <a href="lessons/2-Symbolic/MSConceptGraph.ipynb">コンセプトグラフ</a></td><td></td></tr>
-<tr><td>III</td><td colspan="4"><b><a href="lessons/3-NeuralNetworks/README.md">ニューラルネットワーク入門</a></b></td><td></td></tr>
+<tr><td>2 </td><td>知識表現とエキスパートシステム</td><td><a href="../lessons/2-Symbolic/README.md">Text</a></td><td colspan="2"><a href="../lessons/2-Symbolic/Animals.ipynb">エキスパートシステム</a>, <a href="../lessons/2-Symbolic/FamilyOntology.ipynb">Ontology</a>, <a href="../lessons/2-Symbolic/MSConceptGraph.ipynb">コンセプトグラフ</a></td><td></td></tr>
+<tr><td>III</td><td colspan="4"><b><a href="../lessons/3-NeuralNetworks/README.md">ニューラルネットワーク入門</a></b></td><td></td></tr>
 <tr><td>3</td><td>パーセプトロン</td>
-   <td><a href="lessons/3-NeuralNetworks/03-Perceptron/README.md">Text</a>
-   <td colspan="2"><a href="lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb">Notebook</a></td><td><a href="lessons/3-NeuralNetworks/03-Perceptron/lab/README.md">Lab</a></td></tr>
-<tr><td>4 </td><td>多層パーセプトロンと独自のフレームワークの構築</td><td><a href="lessons/3-NeuralNetworks/04-OwnFramework/README.md">Text</a></td><td colspan="2"><a href="lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb">Notebook</a><td><a href="lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md">Lab</a></td></tr> 
+   <td><a href="../lessons/3-NeuralNetworks/03-Perceptron/README.md">Text</a>
+   <td colspan="2"><a href="../lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb">Notebook</a></td><td><a href="../lessons/3-NeuralNetworks/03-Perceptron/lab/README.md">Lab</a></td></tr>
+<tr><td>4 </td><td>多層パーセプトロンと独自のフレームワークの構築</td><td><a href="../lessons/3-NeuralNetworks/04-OwnFramework/README.md">Text</a></td><td colspan="2"><a href="../lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb">Notebook</a><td><a href="../lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md">Lab</a></td></tr> 
 <tr><td>5</td>
    <td>フレームワーク入門 (PyTorch/TensorFlow)<br/>オーバーフィッティング</td>
-   <td><a href="lessons/3-NeuralNetworks/05-Frameworks/README.md">Text</a><br/><a href="lessons/3-NeuralNetworks/05-Frameworks/Overfitting.md">Text</a></td>
-   <td><a href="lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb">PyTorch</td>
-   <td><a href="lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.md">Keras/TensorFlow</td>
-   <td><a href="lessons/3-NeuralNetworks/05-Frameworks/lab/README.md">Lab</a></td></tr>
-<tr><td>IV</td><td><b><a href="lessons/4-ComputerVision/README.md">コンピュータビジョン</a></b></td>
+   <td><a href="../lessons/3-NeuralNetworks/05-Frameworks/README.md">Text</a><br/><a href="../lessons/3-NeuralNetworks/05-Frameworks/Overfitting.md">Text</a></td>
+   <td><a href="../lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb">PyTorch</td>
+   <td><a href="../lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.md">Keras/TensorFlow</td>
+   <td><a href="../lessons/3-NeuralNetworks/05-Frameworks/lab/README.md">Lab</a></td></tr>
+<tr><td>IV</td><td><b><a href="../lessons/4-ComputerVision/README.md">コンピュータビジョン</a></b></td>
   <td colspan="3"><a href="https://docs.microsoft.com/learn/paths/explore-computer-vision-microsoft-azure/?WT.mc_id=academic-57639-dmitryso"><i>AIファンダメンタルズ コンピュータビジョンの探求</i></a></td>
   <td></td></tr>
 <tr><td></td><td colspan="2"><i>Microsoft Learn Module - コンピュータビジョン</i></td>
   <td><a href="https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-57639-dmitryso"><i>PyTorch</i></a></td>
   <td><a href="https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-57639-dmitryso"><i>TensorFlow</i></a></td>
   <td></td></tr>
-<tr><td>6</td><td>コンピュータビジョン入門 OpenCV</td><td><a href="lessons/4-ComputerVision/06-IntroCV/README.md">Text</a><td colspan="2"><a href="lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb">Notebook</a></td><td><a href="lessons/4-ComputerVision/06-IntroCV/lab/README.md">Lab</a></td></tr>
-<tr><td>7</td><td>畳み込みニューラルネットワーク<br/>CNN アーキテクチャ</td><td><a href="lessons/4-ComputerVision/07-ConvNets/README.md">Text</a><br/><a href="lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md">Text</a></td><td><a href="lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb">PyTorch</a></td><td><a href="lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb">TensorFlow</a></td><td><a href="lessons/4-ComputerVision/07-ConvNets/lab/README.md">Lab</a></td></tr>
-<tr><td>8</td><td>事前学習済みネットワークと転移学習<br/>ディープラーニングのトレーニングのコツ</td><td><a href="lessons/4-ComputerVision/08-TransferLearning/README.md">Text</a><br/><a href="lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md">Text</a></td><td><a href="lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb">PyTorch</a></td><td><a href="lessons/4-ComputerVision/08-TransferLearning/TransferLearningTF.ipynb">TensorFlow</a><br/><a href="lessons/4-ComputerVision/08-TransferLearning/Dropout.ipynb">Dropout sample</a></td><td><a href="lessons/4-ComputerVision/08-TransferLearning/lab/README.md">Lab</a></td></tr>
-<tr><td>9</td><td>オートエンコーダーとVAE</td><td><a href="lessons/4-ComputerVision/09-Autoencoders/README.md">Text</a></td><td><a href="lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPytorch.ipynb">PyTorch</td><td><a href="lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb">TensorFlow</a></td><td></td></tr>
-<tr><td>10</td><td>生成アドバーサリアルネットワーク<br/>Artistic Style Transfer</td><td><a href="lessons/4-ComputerVision/10-GANs/README.md">Text</a></td><td><a href="lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb">PyTorch</td><td><a href="lessons/4-ComputerVision/10-GANs/GANTF.ipynb">TensorFlow GAN</a><br/><a href="lessons/4-ComputerVision/10-GANs/StyleTransfer.ipynb">Style Transfer</a></td><td></td></tr>
-<tr><td>11</td><td>オブジェクト検出</td><td><a href="lessons/4-ComputerVision/11-ObjectDetection/README.md">Text</a></td><td>PyTorch</td><td><a href="lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection-TF.ipynb">TensorFlow</td><td><a href="lessons/4-ComputerVision/11-ObjectDetection/lab/README.md">Lab</a></td></tr>
-<tr><td>12</td><td>セマンティック・セグメンテーション U-Net</td><td><a href="lessons/4-ComputerVision/12-Segmentation/README.md">Text</a></td><td><a href="lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb">PyTorch</td><td><a href="lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb">TensorFlow</td><td></td></tr>
-<tr><td>V</td><td><b><a href="lessons/5-NLP/README.md">自然言語処理</a></b></td>
+<tr><td>6</td><td>コンピュータビジョン入門 OpenCV</td><td><a href="../lessons/4-ComputerVision/06-IntroCV/README.md">Text</a><td colspan="2"><a href="../lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb">Notebook</a></td><td><a href="../lessons/4-ComputerVision/06-IntroCV/lab/README.md">Lab</a></td></tr>
+<tr><td>7</td><td>畳み込みニューラルネットワーク<br/>CNN アーキテクチャ</td><td><a href="../lessons/4-ComputerVision/07-ConvNets/README.md">Text</a><br/><a href="../lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md">Text</a></td><td><a href="../lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb">PyTorch</a></td><td><a href="../lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb">TensorFlow</a></td><td><a href="../lessons/4-ComputerVision/07-ConvNets/lab/README.md">Lab</a></td></tr>
+<tr><td>8</td><td>事前学習済みネットワークと転移学習<br/>ディープラーニングのトレーニングのコツ</td><td><a href="../lessons/4-ComputerVision/08-TransferLearning/README.md">Text</a><br/><a href="../lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md">Text</a></td><td><a href="../lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb">PyTorch</a></td><td><a href="l../essons/4-ComputerVision/08-TransferLearning/TransferLearningTF.ipynb">TensorFlow</a><br/><a href="../lessons/4-ComputerVision/08-TransferLearning/Dropout.ipynb">Dropout sample</a></td><td><a href="../lessons/4-ComputerVision/08-TransferLearning/lab/README.md">Lab</a></td></tr>
+<tr><td>9</td><td>オートエンコーダーとVAE</td><td><a href="../lessons/4-ComputerVision/09-Autoencoders/README.md">Text</a></td><td><a href="../lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPytorch.ipynb">PyTorch</td><td><a href="../lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb">TensorFlow</a></td><td></td></tr>
+<tr><td>10</td><td>生成アドバーサリアルネットワーク<br/>Artistic Style Transfer</td><td><a href="../lessons/4-ComputerVision/10-GANs/README.md">Text</a></td><td><a href="../lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb">PyTorch</td><td><a href="../lessons/4-ComputerVision/10-GANs/GANTF.ipynb">TensorFlow GAN</a><br/><a href="../lessons/4-ComputerVision/10-GANs/StyleTransfer.ipynb">Style Transfer</a></td><td></td></tr>
+<tr><td>11</td><td>オブジェクト検出</td><td><a href="../lessons/4-ComputerVision/11-ObjectDetection/README.md">Text</a></td><td>PyTorch</td><td><a href="../lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection-TF.ipynb">TensorFlow</td><td><a href="../lessons/4-ComputerVision/11-ObjectDetection/lab/README.md">Lab</a></td></tr>
+<tr><td>12</td><td>セマンティック・セグメンテーション U-Net</td><td><a href="../lessons/4-ComputerVision/12-Segmentation/README.md">Text</a></td><td><a href="../lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb">PyTorch</td><td><a href="../lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb">TensorFlow</td><td></td></tr>
+<tr><td>V</td><td><b><a href="../lessons/5-NLP/README.md">自然言語処理</a></b></td>
    <td colspan="3"><a href="https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-57639-dmitryso"><i>AIファンダメンタルズ 自然言語処理の探究</i></a></td>
    <td></td></tr>
 <tr><td></td><td colspan="2"><i>Microsoft Learn Module - 自然言語</i></td>
    <td><a href="https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-57639-dmitryso"><i>PyTorch</i></a></td>
    <td><a href="https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-57639-dmitryso"><i>TensorFlow</i></a></td>
    <td></td></tr>
-<tr><td>13</td><td>文書表現 Bow/TF-IDF</td><td><a href="lessons/5-NLP/13-TextRep/README.md">Text</a></td><td><a href="lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb">PyTorch</a></td><td><a href="lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb">TensorFlow</td><td></td></tr>
-<tr><td>14</td><td>セマンティックな単語の埋め込み Word2Vec と GloVe</td><td><a href="lessons/5-NLP/14-Embeddings/README.md">Text</td><td><a href="lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb">PyTorch</a></td><td><a href="lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb">TensorFlow</a></td><td></td></tr>
-<tr><td>15</td><td>言語モデリング 言語モデリング - 独自のエンベッディングを学習させる</td><td><a href="lessons/5-NLP/15-LanguageModeling/README.md">Text</a></td><td></td><td><a href="lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb">TensorFlow</a></td><td><a href="lessons/5-NLP/15-LanguageModeling/lab/README.md">Lab</a></td></tr>
-<tr><td>16</td><td>リカレント・ニューラルネットワーク</td><td><a href="lessons/5-NLP/16-RNN/README.md">Text</a></td><td><a href="lessons/5-NLP/16-RNN/RNNPyTorch.ipynb">PyTorch</a></td><td><a href="lessons/5-NLP/16-RNN/RNNTF.ipynb">TensorFlow</a></td><td></td></tr>
-<tr><td>17</td><td>生成リカレントネットワーク</td><td><a href="lessons/5-NLP/17-GenerativeNetworks/README.md">Text</a></td><td><a href="lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.md">PyTorch</a></td><td><a href="lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.md">TensorFlow</a></td><td><a href="lessons/5-NLP/17-GenerativeNetworks/lab/README.md">Lab</a></td></tr>
-<tr><td>18</td><td>トランスフォーマー BERT</td><td><a href="lessons/5-NLP/18-Transformers/README.md">Text</a></td><td><a href="lessons/5-NLP/18-Transformers/TransformersPyTorch.md">PyTorch</a></td><td><a href="lessons/5-NLP/18-Transformers/TransformersTF.md">TensorFlow</a></td><td></td></tr>
-<tr><td>19</td><td>名前付き固有表現認識</td><td><a href="lessons/5-NLP/19-NER/README.md">Text</a></td><td></td><td><a href="lessons/5-NLP/19-NER/NER-TF.ipynb">TensorFlow</a></td><td><a href="lessons/5-NLP/19-NER/lab/README.md">Lab</a></td></tr>
-<tr><td>20</td><td>大規模言語モデル、プロンプトプログラミング、Few-shot タスク</td><td><a href="lessons/5-NLP/20-LangModels/README.md">Text</a></td><td><a href="lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb">PyTorch</td><td></td><td></td></tr>
+<tr><td>13</td><td>文書表現 Bow/TF-IDF</td><td><a href="../lessons/5-NLP/13-TextRep/README.md">Text</a></td><td><a href="../lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb">PyTorch</a></td><td><a href="../lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb">TensorFlow</td><td></td></tr>
+<tr><td>14</td><td>セマンティックな単語の埋め込み Word2Vec と GloVe</td><td><a href="../lessons/5-NLP/14-Embeddings/README.md">Text</td><td><a href="../lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb">PyTorch</a></td><td><a href="../lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb">TensorFlow</a></td><td></td></tr>
+<tr><td>15</td><td>言語モデリング 言語モデリング - 独自のエンベッディングを学習させる</td><td><a href="../lessons/5-NLP/15-LanguageModeling/README.md">Text</a></td><td></td><td><a href="../lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb">TensorFlow</a></td><td><a href="../lessons/5-NLP/15-LanguageModeling/lab/README.md">Lab</a></td></tr>
+<tr><td>16</td><td>リカレント・ニューラルネットワーク</td><td><a href="../lessons/5-NLP/16-RNN/README.md">Text</a></td><td><a href="../lessons/5-NLP/16-RNN/RNNPyTorch.ipynb">PyTorch</a></td><td><a href="../lessons/5-NLP/16-RNN/RNNTF.ipynb">TensorFlow</a></td><td></td></tr>
+<tr><td>17</td><td>生成リカレントネットワーク</td><td><a href="../lessons/5-NLP/17-GenerativeNetworks/README.md">Text</a></td><td><a href="../lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.md">PyTorch</a></td><td><a href="../lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.md">TensorFlow</a></td><td><a href="../lessons/5-NLP/17-GenerativeNetworks/lab/README.md">Lab</a></td></tr>
+<tr><td>18</td><td>トランスフォーマー BERT</td><td><a href="../lessons/5-NLP/18-Transformers/README.md">Text</a></td><td><a href="../lessons/5-NLP/18-Transformers/TransformersPyTorch.md">PyTorch</a></td><td><a href="../lessons/5-NLP/18-Transformers/TransformersTF.md">TensorFlow</a></td><td></td></tr>
+<tr><td>19</td><td>名前付き固有表現認識</td><td><a href="../lessons/5-NLP/19-NER/README.md">Text</a></td><td></td><td><a href="../lessons/5-NLP/19-NER/NER-TF.ipynb">TensorFlow</a></td><td><a href="../lessons/5-NLP/19-NER/lab/README.md">Lab</a></td></tr>
+<tr><td>20</td><td>大規模言語モデル、プロンプトプログラミング、Few-shot タスク</td><td><a href="../lessons/5-NLP/20-LangModels/README.md">Text</a></td><td><a href="../lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb">PyTorch</td><td></td><td></td></tr>
 <tr><td>VI</td><td colspan="4"><b>その他のAI技術</b></td><td></td></tr>
-<tr><td>21</td><td>遺伝的アルゴリズム</td><td><a href="lessons/6-Other/21-GeneticAlgorithms/README.md">Text</a><td colspan="2"><a href="lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb">Notebook</a></td><td></td></tr>
-<tr><td>22</td><td>深層強化学習</td><td><a href="lessons/6-Other/22-DeepRL/README.md">Text</a></td><td></td><td><a href="lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb">TensorFlow</td><td><a href="lessons/6-Other/22-DeepRL/lab/README.md">Lab</a></td></tr>
-<tr><td>23</td><td>マルチエージェントシステム</td><td><a href="lessons/6-Other/23-MultiagentSystems/README.md">Text</a></td><td></td><td></td><td></td></tr>
+<tr><td>21</td><td>遺伝的アルゴリズム</td><td><a href="../lessons/6-Other/21-GeneticAlgorithms/README.md">Text</a><td colspan="2"><a href="../lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb">Notebook</a></td><td></td></tr>
+<tr><td>22</td><td>深層強化学習</td><td><a href="../lessons/6-Other/22-DeepRL/README.md">Text</a></td><td></td><td><a href="../lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb">TensorFlow</td><td><a href="../lessons/6-Other/22-DeepRL/lab/README.md">Lab</a></td></tr>
+<tr><td>23</td><td>マルチエージェントシステム</td><td><a href="../lessons/6-Other/23-MultiagentSystems/README.md">Text</a></td><td></td><td></td><td></td></tr>
 <tr><td>VII</td><td colspan="4"><b>AI倫理</b></td><td></td></tr>
-<tr><td>24</td><td>AI 倫理と責任ある AI のあり方</td><td><a href="lessons/7-Ethics/README.md">Text</a></td><td colspan="2"><a href="https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-57639-dmitryso"><i>MS Learn: Responsible AI Principles</i></a></td><td></td></tr>
+<tr><td>24</td><td>AI 倫理と責任ある AI のあり方</td><td><a href="../lessons/7-Ethics/README.md">Text</a></td><td colspan="2"><a href="https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-57639-dmitryso"><i>MS Learn: Responsible AI Principles</i></a></td><td></td></tr>
 <tr><td></td><td colspan="4"><b>Extras</b></td><td></td></tr>
-<tr><td>X1</td><td>マルチモーダルネットワーク、CLIP、VQGAN</td><td><a href="lessons/X-Extras/X1-MultiModal/README.md">Text</a></td><td colspan="2"><a href="lessons/X-Extras/X1-MultiModal/Clip.ipynb">Notebook</a></td><td></td></tr>
+<tr><td>X1</td><td>マルチモーダルネットワーク、CLIP、VQGAN</td><td><a href="../lessons/X-Extras/X1-MultiModal/README.md">Text</a></td><td colspan="2"><a href="../lessons/X-Extras/X1-MultiModal/Clip.ipynb">Notebook</a></td><td></td></tr>
 </table>
 
 **[コースのマインドマップ](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
@@ -137,7 +137,7 @@
 
 ## Meet the Team
 
-[![Promo video](/lessons/sketchnotes/ai-for-beginners.png)](https://youtu.be/m2KrAk0cC1c "Promo video")
+[![Promo video](../lessons/sketchnotes/ai-for-beginners.png)](https://youtu.be/m2KrAk0cC1c "Promo video")
 
 > 🎥 上の画像をクリックすると、このプロジェクトについてとプロジェクトに関わった人たちについての動画が見られます。