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TensorFlow Lite for Microcontrollers adds Support for Efficient LSTM Implementation | by Christoph Siegl | Medium

World's Fastest Inference Engine Now Supports LSTM-based Recurrent Neural Networks - Edge AI and Vision Alliance

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LSTM Support · Issue #995 · tensorflow/tflite-micro · GitHub

专访| 基于LSTM与TensorFlow Lite，kika输入法是如何造就的- 知乎

Time series forecasting | TensorFlow Core

PDF] Design and optimization of a TensorFlow Lite deep learning neural network for human activity recognition on a smartphone | Semantic Scholar

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TensorFlow Lite for Microcontrollers adds Support for Efficient LSTM Implementation | by Christoph Siegl | Medium

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Model Compression with TensorFlow Lite: A Look into Reducing Model Size | by Cawin Chan | Towards Data Science

TensorFlow Lite for Microcontrollers adds Support for Efficient LSTM Implementation | by Christoph Siegl | Medium

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Procedure for classification of physiological time series with TF–TS... | Download Scientific Diagram

Train an LSTM weather forecasting model for the Coral Edge TPU - Colaboratory

On-Device Conversational Modeling with TensorFlow Lite – Google AI Blog

Time series forecasting | TensorFlow Core

In TensorFlow, what is the difference between the BasicLSTM and LSTM cell implementations? - Quora

RNN] Stateful LSTM can't be converted to TF Lite with Integer Quantization · Issue #803 · tensorflow/model-optimization · GitHub

Comparison of TensorFlow Lite execution time for test data. | Download Scientific Diagram

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TensorFlow Lite for Microcontrollers adds Support for Efficient LSTM Implementation | by Christoph Siegl | Medium

eIQ® Inference with TensorFlow™ Lite | NXP Semiconductors

Porting Reference LSTM Op from Lite to Micro · Issue #920 · tensorflow/tflite-micro · GitHub

TensorFlow Lite for Microcontrollers adds Support for Efficient LSTM Implementation | by Christoph Siegl | Medium