Restructure NLP to go under learning pytorch and remove torchtext from requirements.txt

Author: svekars

.ci/docker/requirements.txt

@@ -16,7 +16,6 @@ matplotlib
 librosa
 torch==2.4
 torchvision
-torchtext
 torchdata
 networkx
 PyHamcrest

index.rst

@@ -955,6 +955,7 @@ Additional Resources
    beginner/deep_learning_60min_blitz
    beginner/pytorch_with_examples
    beginner/nn_tutorial
+   intermediate/nlp_from_scratch_index
    intermediate/tensorboard_tutorial
    intermediate/pinmem_nonblock
 
@@ -989,16 +990,6 @@ Additional Resources
    intermediate/text_to_speech_with_torchaudio
    intermediate/forced_alignment_with_torchaudio_tutorial
 
-.. toctree::
-   :maxdepth: 2
-   :includehidden:
-   :hidden:
-   :caption: NLP
-
-   intermediate/char_rnn_classification_tutorial
-   intermediate/char_rnn_generation_tutorial
-   intermediate/seq2seq_translation_tutorial
-
 .. toctree::
    :maxdepth: 2
    :includehidden:

intermediate_source/nlp_from_scratch_index.rst

@@ -0,0 +1,48 @@
+NLP from Scratch
+================
+
+In these three-part series you will build and train
+a basic character-level Recurrent Neural Network (RNN) to classify words.
+
+You will learn:
+
+* How to construct Recurrent Neural Networks from scratch
+* Essential data handling techniques for NLP
+* How to train an RNN to identify the language origin of words.
+
+Before you begin, we recommend that you review the following:
+
+* `PyTorch Learn the Basics series <https://pytorch.org/tutorials/beginner/basics/intro.html>`__
+* `How to install PyTorch <https://pytorch.org/get-started/locally/>`__
+
+.. grid:: 3
+
+     .. grid-item-card:: :octicon:`file-code;1em`
+        NLP From Scratch - Part 1: Classifying Names with a Character-Level RNN
+        :link: https://pytorch.org/tutorials/intermediate/char_rnn_classification_tutorial.html
+        :link-type: url
+
+        Learn how to use an RNN to classify names into their language of origin.
+        +++
+        :octicon:`code;1em` Code
+
+     .. grid-item-card:: :octicon:`file-code;1em`
+        NLP From Scratch - Part 2: Generating Names with a Character-Level RNN
+        :link: https://pytorch.org/tutorials/intermediate/char_rnn_generation_tutorial.html
+        :link-type: url
+
+        Expand the RNN we created in Part 1 to generate names from languages.
+        +++
+        :octicon:`code;1em` Code
+
+     .. grid-item-card:: :octicon:`file-code;1em`
+        NLP From Scratch - Part 3: Translation with a Sequence to Sequence Network and Attention
+        :link: https://pytorch.org/tutorials/intermediate/seq2seq_translation_tutorial.html
+        :link-type: url
+
+        Create a sequence-to-sequence model that can translate your text from French
+        to English.
+        +++
+        :octicon:`code;1em` Code
+
+