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* install tf_keras * use tf_keras model and layers Run into a problem while running the cell: > Only instances of `keras.Layer` can be added to a Sequential model. Received:
This pull request includes a small change to the `site/en/tutorials/images/classification.ipynb` file. The change updates the way the dataset directory is specified to ensure compatibility with the extracted folder structure.
The previous link to the Microsoft Visual C++ Redistributable download page is now outdated or broken. This PR updates it to the official Visual Studio 2015, 2017 and 2019 version...
As the home page of TF Hub docs, it would be ideal to point to the correct model catalog at this point, IMO.
## Summary This PR updates the supported Python versions listed on the `/install` landing page to reflect the current TensorFlow compatibility (3.9–3.12). The previous versions (3.8–3.11) were outdated, which was...
The current notebook doesn't work after ```python DATASET_PATH = 'data/mini_speech_commands' data_dir = pathlib.Path(DATASET_PATH) if not data_dir.exists(): tf.keras.utils.get_file( 'mini_speech_commands.zip', origin="http://storage.googleapis.com/download.tensorflow.org/data/mini_speech_commands.zip", extract=True, cache_dir='.', cache_subdir='data') ``` The snippet ```python commands = np.array(tf.io.gfile.listdir(str(data_dir))) commands...
According to the [Filesystem Hierarchy Standard (FHS)](https://refspecs.linuxfoundation.org/FHS_3.0/fhs/ch04s09.html), /usr/local is specifically intended for software manually installed by the system administrator (i.e., outside the distribution's package manager), which is the case for...
Fixed Microsoft Visual C++ Redistributable for Visual Studio 2015, 2017 and 2019 broken link.