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1. First the simple version.
2. Then a more complex version.
   No trying to convert from LookupTable to TextVectorization layer.

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… conda

TF 2.14 supports `pip install
tensorflow[and-cuda]`, which should totally remove the need for miniconda in
the installation process.

The Miniconda instructions provided:

1. The CUDA libraries
2. A virtual Python environment

These new instructions _only_ provide the CUDA libraries, not a virtual
environment. This is consistent with the CPU installation methods.

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…-built Clang+LLVM-16 binaries during the building TensorFlow from source.

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…on first usage, rather than second; add transition sentence to mixed data types section.

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Added 2 lines of code `import keras`,
`@keras.saving.register_keras_serializable()` on top of the Keras Custom model definition because it shows typeerror - "Make sure custom classes are decorated with `@keras.saving.register_keras_serializable()`" after reloading the model when saving as `.keras`.

As mentioned in this Saving [Custom objects](https://www.tensorflow.org/guide/keras/serialization_and_saving#custom_objects) definition.

Please refer to this replicated working code [gist](https://colab.research.google.com/gist/RenuPatelGoogle/f124503c52144c5ed6e9c79cffcb593d/intro_to_modules.ipynb#scrollTo=hpW-4Dj3Q1Rb) for your reference. Thank you.

Added keras import on top of the code.

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In the boundless.ipynb file in the section: "Loading an image" there is a typo in the description: "We will load a sample image but fell free to upload your own image to the colab and try with it." but it should be "We will load a sample image but feel free to upload your own image to the colab and try with it."
the change is from "fell" to the corrected "feel"

The tag `latest` has been deprecated by NVIDIA:
NVIDIA/nvidia-container-toolkit#302 (comment)
Therefore, the provided command is deprecated:
`docker run --gpus all --rm nvidia/cuda nvidia-smi`
Unable to find image 'nvidia/cuda:latest' locally
docker: Error response from daemon: manifest for nvidia/cuda:latest not found: manifest unknown: manifest unknown.
See 'docker run --help'.
sudo docker run --gpus all --rm nvidia/cuda nvidia-smi
Unable to find image 'nvidia/cuda:latest' locally
docker: Error response from daemon: manifest for nvidia/cuda:latest not found: manifest unknown: manifest unknown.
See 'docker run --help'.
Updated command found here:
https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/sample-workload.html#running-a-sample-workload-with-docker

Remove sudo

Co-authored-by: Mihai Maruseac <mihai.maruseac@gmail.com>

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…-matches

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…ectory.

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…cation

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Fix broken Microsoft VC++ link

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… invalid escape sequence.

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