Merge pull request #447 from NVIDIA/branch-24.10

[auto-merge] branch-24.10 to branch-24.12 [skip ci] [bot]

examples/ML+DL-Examples/Spark-DL/dl_inference/README.md

@@ -37,10 +37,10 @@ Here is a full list of the notebooks with their published example links:
 | ------------- | ------------- | ------------- | ------------- | ------------- 
 | 1 | PyTorch | Image Classification | Training a model to predict clothing categories in FashionMNIST, including accelerated inference with Torch-TensorRT. | [Link](https://pytorch.org/tutorials/beginner/basics/quickstart_tutorial.html)
 | 2 | PyTorch | Regression | Training a model to predict housing prices in the California Housing Dataset, including accelerated inference with Torch-TensorRT. | [Link](https://github.com/christianversloot/machine-learning-articles/blob/main/how-to-create-a-neural-network-for-regression-with-pytorch.md)
-| 3 | Tensorflow | Image Classification | Training a model to predict hand-written digits in MNIST. | [Link](https://www.tensorflow.org/tutorials/keras/save_and_load)
-| 4 | Tensorflow | Feature Columns | Training a model with preprocessing layers to predict likelihood of pet adoption in the PetFinder mini dataset. | [Link](https://www.tensorflow.org/tutorials/structured_data/preprocessing_layers)
+| 3 | Tensorflow | Image Classification | Training a model to predict hand-written digits in MNIST. | [Link](https://github.com/tensorflow/docs/blob/master/site/en/tutorials/keras/save_and_load.ipynb)
+| 4 | Tensorflow | Feature Columns | Training a model with preprocessing layers to predict likelihood of pet adoption in the PetFinder mini dataset. | [Link](https://github.com/tensorflow/docs/blob/master/site/en/tutorials/structured_data/preprocessing_layers.ipynb)
 | 5 | Tensorflow | Keras Metadata | Training ResNet-50 to perform flower recognition on Databricks. | [Link](https://docs.databricks.com/en/_extras/notebooks/source/deep-learning/keras-metadata.html)
-| 6 | Tensorflow | Text Classification | Training a model to perform sentiment analysis on the IMDB dataset. | [Link](https://www.tensorflow.org/tutorials/keras/text_classification)
+| 6 | Tensorflow | Text Classification | Training a model to perform sentiment analysis on the IMDB dataset. | [Link](https://github.com/tensorflow/docs/blob/master/site/en/tutorials/keras/text_classification.ipynb)
 | 7+8 | HuggingFace | Conditional Generation | Sentence translation using the T5 text-to-text transformer, with notebooks demoing both Torch and Tensorflow. | [Link](https://huggingface.co/docs/transformers/model_doc/t5#t5) 
 | 9+10 | HuggingFace | Pipelines | Sentiment analysis using Huggingface pipelines, with notebooks demoing both Torch and Tensorflow. | [Link](https://huggingface.co/docs/transformers/quicktour#pipeline-usage)
 | 11 | HuggingFace | Sentence Transformers | Sentence embeddings using the SentenceTransformers framework in Torch. | [Link](https://huggingface.co/sentence-transformers)