Image Style Transfer in TensorFlow
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Updated
Sep 9, 2018 - Python
Image Style Transfer in TensorFlow
MobileNetV2 written in tensorflow, training with eager mode and estimator API
Eager Execution enables you to run operations immediately
Simple Examples with TensorFlow from scratch
An example of semantic segmentation using tensorflow in eager execution.
Cyclic learning rate TensorFlow implementation.
In this project I implement Neural Machine Translation using Attention mechanism. The code is written using the TensorFlow library in Python. I have used TensorFlow functionalities like tf.data.Dataset to manage the input pipeline, Eager Execution and Model sub classing to create the model architecture.
meachine learning
This is a Tensorflow implementation of text recognition model from the paper "An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition".
TensorFlow 2.0 implementation of MAML.
A proposal for distribution-based loss function in neural network
Using an RNN to make predictions about redactions from the Mueller report
3 different ways to implement GD in TF2.0
Tutorials of TensorFlow eager execution
Major GANs are implemented in this repository 🔥
A tutorial on forward models for model-based reinforcement learning.
Foolbox Native brings native performance to Foolbox
A Tensorflow Keras implementation (Graph and eager execution) of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.
نقل النمط العصبوني: بناء طريقة للتعلم العميق باستخدام كيراس tf.keras و منفّذ إيجر eager execution
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