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Rank 544,902 (Top 11 %)
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Python
Created almost 8 years ago
Updated almost 8 years ago

hwalsuklee

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MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.

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Collection of generative models in Tensorflow

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tensorflow-mnist-VAE

Tensorflow implementation of variational auto-encoder for MNIST

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tensorflow-style-transfer

A simple, concise tensorflow implementation of style transfer (neural style)

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tensorflow-fast-style-transfer

A simple, concise tensorflow implementation of fast style transfer

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tensorflow-mnist-cnn

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

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tensorflow-mnist-CVAE

Tensorflow implementation of conditional variational auto-encoder for MNIST

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150

tensorflow-mnist-AAE

Tensorflow implementation of adversarial auto-encoder for MNIST

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how-far-can-we-go-with-MNIST

A collection of codes for 'how far can we go with MNIST' challenge

numpy-neuralnet-exercise

Implementation of key concepts of neuralnetwork via numpy

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tensorflow-GAN-1d-gaussian-ex

Tensorflow implementation of Generative Adversarial Network for approximating a 1D Gaussian distribution

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hwalsuklee/tensorflow-mnist-MLP-batch_normalization-weight_initializers

hwalsuklee

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