api.md at master · tensorflow/tensorflow · GitHub

An Open Source Machine Learning Framework for Everyone - tensorflow/tensorflow

Converter Python API guide This page describes how to convert TensorFlow models into the TensorFlow Lite format using the tf.compat.v1.lite.TFLiteConverter Python API. It provides the following class methods based on the original format of the model: tf.compat.v1.lite.TFLiteConverter.from_saved_model(): Converts a SavedModel. tf.compat.v1.lite.TFLiteConverter.from_keras_model_file(): Converts a Keras model file. tf.compat.v1.lite.TFLiteConverter.from_session(): Converts a GraphDef from a session. tf.compat.v1.lite.TFLiteConverter.from_frozen_graph(): Converts a Frozen GraphDef from a…

saved by

• Alexander Davies

related reading

• TensorFlow Model conversion overview | Google AI Edge | Google for Developerstensorflow.org
• LiteRT: Google's next-gen runtime for on-device AItensorflow.org
• practical-ml-vision-book/09_deploying/09e_tflite.ipynb at master · GoogleCloudPlatform/practical-ml-vision-book · GitHubgithub.com
• GitHub - david8862/keras-YOLOv3-model-set: end-to-end YOLOv4/v3/v2 object detection pipeline, implemented on tf.keras with different technologiesgithub.com
• GitHub - Masao-Taketani/FOTS_OCR: TensorFlow Implementation of FOTS, Fast Oriented Text Spotting with a Unified Network.github.com
• Tinkerthinkingmachines.ai
• Anatomy of a Modern Finetuning APIbenanderson.work
• How to use K-fold Cross Validation with TensorFlow 2 and Keras? | MachineCurve.commachinecurve.com
• Hugging Face – The AI community building the future.huggingface.co
• API Reference — TensorRT LLMnvidia.github.io
• Accelerated Inference for Large Transformer Models Using NVIDIA Triton Inference Server | NVIDIA Technical Blogdeveloper.nvidia.com
• Convolutional Neural Network (CNN) | TensorFlow Coretensorflow.org