Simple tutorials for building neural networks with TensorFlow Eager mode.
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Updated
Feb 2, 2020 - Jupyter Notebook
Simple tutorials for building neural networks with TensorFlow Eager mode.
Programmer Guide (for Korean): TensorFlow Eager Execution
A simplified implementation of RetinaNet from https://arxiv.org/pdf/1708.02002.pdf using TF2.0
This repo is useless after TF 2.0 is released, `tf.function` does everything to convert a eager function to graph
Classical deep learning paper implementation using tensorflow's eager execution
Implement RetinaNet with TensorFlow.eager
Variational autoencoder with TF Eager and Probability.
An interactive visualization of eager and lazy enumeration in Ruby
Pequeño ejercicio sobre un vector simple. Para resolverlo, se mostrarán las posibilidades de la estrategia "eager" y la de "backtracking".
Practical exploration of TensorFlow eager vs graph execution modes with real code examples, performance benchmarks, control flow, safe patterns for side-effects, and variable updates — demonstrating deep understanding of TensorFlow mechanics.
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