Neural Network Api Symbol

The Android Neural Networks API NNAPI is an Android C API designed for running computationally intensive operations for machine learning on Android devices. NNAPI is designed to provide a base layer of functionality for higher-level machine learning frameworks, such as TensorFlow Lite and Caffe2, that build and train neural networks.

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1 Neural Networks Notations. General comments thsuperscript i will denote the i training example while superscript l will denote the lth layer Sizes m number of examples in the dataset n x input size n y output size or number of classes thnl h number of hidden units of the l layer In a for loop, it is possible to denote n x n

The Symbol API, defined in the symbol or simply sym package, provides neural network graphs and auto-differentiation.A symbol represents a multi-output symbolic expression. They are composited by operators, such as simple matrix operations e.g. quotquot, or a neural network layer e.g. convolution layer.

All symbols Introduction Tutorials Guide Learn ML TensorFlow v2.16.1 Versions TensorFlow.js TensorFlow Lite TFX LIBRARIES TensorFlow.js TensorFlow Lite TFX All libraries RESOURCES Models amp datasets Tools Responsible AI Recommendation systems Groups Contribute Blog Forum About

I'm working on a neural network diagram and need to clearly represent the 'concatenate' and 'split' operations for tensors. I'm not sure which node symbols or icons are typically used for these operations to make the diagram look professional and easy to understand. Any advice or best practices would be greatly appreciated! Thank you in

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