RomanNum3ral
/
AI-For-Beginners
mirror of https://github.com/microsoft/AI-For-Beginners.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Update README.md

This commit is contained in:
Prianikq 2022-07-23 12:04:59 +03:00 committed by GitHub
parent 89d8477b69
commit 23712d92c8
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 1 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
README.md
View File

@ -81,7 +81,7 @@ For a gentle introduction to *AI in the Cloud* topics you may consider taking th
<td></td></tr>
<tr><td>13</td><td>Text Representation. 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>Semantic word embeddings. Word2Vec and 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>Language Modeling. Training your own embeddings</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>15</td><td>Language Modeling. Training your own embeddings</td><td><a href="lessons/5-NLP/15-LanguageModeling/README.md">Text</a></td><td><a href="lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb">PyTorch</a></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>Recurrent Neural Networks</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>Generative Recurrent Networks</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>Transformers. BERT.</td><td><a href="lessons/5-NLP/18-Transformers/README.md">Text</a></td><td><a href="lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb">PyTorch</a></td><td><a href="lessons/5-NLP/18-Transformers/TransformersTF.ipynb">TensorFlow</a></td><td></td></tr>