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tensorlayer
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Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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May 10, 2020 - Python
HyperPose: A Flexible Library for Real-time Human Pose Estimation
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Jun 15, 2020 - Python
TensorFlow and Deep Learning Tutorials
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deep-learning-tutorial
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Feb 26, 2018
Chatbot in 200 lines of code using TensorLayer
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Oct 6, 2019 - Python
Generative Adversarial Text to Image Synthesis / Please Star -->
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Dec 19, 2018 - Python
《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville
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Oct 9, 2019
U-Net Brain Tumor Segmentation
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Aug 17, 2019 - Python
How to use TensorLayer
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Sep 17, 2018
The Simplest DCGAN Implementation
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Aug 28, 2019 - Python
A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀
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May 31, 2020 - Python
A curated list of dedicated resources and applications
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horovod
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Jan 15, 2020
Variational auto-encoder trained on celebA . All rights reserved.
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Dec 14, 2017 - Python
TensorFlow (TensorLayer) Implementation of Image Captioning
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Mar 17, 2019 - Python
An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku
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junxiaosong
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Jan 20, 2020 - Python
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
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May 22, 2020 - Python
Re-implement CycleGAN in Tensorlayer
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Jul 16, 2018 - Python
Applying SRGAN technique implemented in https://github.com/zsdonghao/SRGAN on videos to super resolve them.
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Jun 5, 2020 - Python
A Computation Graph Virtual Machine Based Deep Learning Framework
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Jun 22, 2020 - Python
Unsupervised Image to Image Translation with Generative Adversarial Networks
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Mar 13, 2019 - Python
A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env
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Aug 10, 2017 - Python
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Jun 9, 2020
Wide Residual Networks implemented in TensorLayer and TensorFlow.
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Oct 30, 2016 - Python
Spatial Transformer Nets in TensorFlow/ TensorLayer
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Jun 17, 2019 - Python
Modular Residual Networks implemented in TensorFlow. Easily change hyperparameters in a few lines.
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Dec 16, 2016 - Python
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I understand that these two python files show two different methods to construct a model. The original n_epoch is 500 which works perfect for both python files. But if I change n_epoch to 20, only tutorial_mnist_mlp_static.py can achieve a high test accuracy (~0.97). The other file tutorial_mnist_mlp_static_2.py only get 0.47.
The models built from these two files looks the same for me (the s