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Name: Kimi
Type: User
Bio: Machine Learning; Image generation
Location: UIUC
Name: Kimi
Type: User
Bio: Machine Learning; Image generation
Location: UIUC
Tensorflow Implementation of Deep Convolutional Generative Adversarial Networks.
DCGAN- Stars
A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
Deep Convolutional Generative Adversarial Networks
Deep Convolutional Generative Adversarial Networks
Notes and experiments to understand deep learning concepts
Pro Git Book Content, 1st Edition - See 2nd edition at progit2
Inception score for measuring quality of images generating from GAN
Keras Generative Adversarial Networks
Plot loss and accuracy of neural networks over time
Machine learning resources,including algorithm, paper, dataset, example and so on.
利用python学习pcnn算法
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Stacked Generative Adversarial Networks
使用谷歌开源的TensorFlow进行一系列的训练实践
TensorFlow Tutorial and Examples for Beginners with Latest APIs
Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
机器学习相关教程
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