Variational autoencoder with TF Eager and Probability.
-
Updated
Jan 15, 2019 - Jupyter Notebook
Variational autoencoder with TF Eager and Probability.
Classical deep learning paper implementation using tensorflow's eager execution
Pequeño ejercicio sobre un vector simple. Para resolverlo, se mostrarán las posibilidades de la estrategia "eager" y la de "backtracking".
Implement RetinaNet with TensorFlow.eager
This repo is useless after TF 2.0 is released, `tf.function` does everything to convert a eager function to graph
A simplified implementation of RetinaNet from https://arxiv.org/pdf/1708.02002.pdf using TF2.0
Programmer Guide (for Korean): TensorFlow Eager Execution
Simple tutorials for building neural networks with TensorFlow Eager mode.
Add a description, image, and links to the eager topic page so that developers can more easily learn about it.
To associate your repository with the eager topic, visit your repo's landing page and select "manage topics."