A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.
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Updated
Jun 20, 2024 - Jupyter Notebook
A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.
Try to use tf.estimator and tf.data together to train a cnn model.
Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944
Building an image classifier in TF2
TensorFlow 2.0 implementation of Improved Training of Wasserstein GANs
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This project shows step-by-step guide on how to build a real-world flower classifier of 102 flower types using TensorFlow, Amazon SageMaker, Docker and Python in a Jupyter Notebook.
Example to load, train, and evaluate ImageNet2012 dataset on a Keras model
ZnH5MD - High Performance Interface for H5MD Trajectories
This repository contains the exercise notebooks for the Data Pipelines with TensorFlow Data Services (Coursera) course.
Build MAXELLA App to recommend Movies using TensorFlow Recommenders (TFRS)
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