Keras model, the clustered model, and the TFLite model. Unfortunately we do not (as of the time of writing this chapter) have the support to natively realize the size and latency gains from the clustering clustering in machine learning frameworks like Tensorflow and PyTorch is pending as of the time of writing this book. Mainly what is lacking is kernels that can efficiently leverage the compressed weight

/Miniconda3-latest-Linux-x86_64.sh • After Miniconda is installed: conda install pytorch -c pytorch Writing code • Up to you; feel free to use emacs, vim, PyCharm, etc. if you want. • Our recommendations:

training set Handwriting recognition cannot be done without machine learning! Everyone has different writing style! Feng Li (SDU) Overview September 6, 2023 18 / 57 Example 2: Autonomous Driving-ALVINN A

building and deploying efficient models on devices ranging from TPUs to edge devices at the time of writing. However, we encourage you to explore other frameworks like PyTorch, Apple’s CoreML as well which

 classes refer optional number of classes to classify images. Let us understand the model by writing a simple example: Step1: import the modules Let us load the necessary modules as specified below:

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('read', 0.8560899496078491), ('story', 0.8461475372314453), ('comic', 0.8268067240715027), ('writing', 0.8226077556610107), ('reference', 0.8206189870834351), ('write', 0.819651186466217),