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

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

hwalsuklee

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

tensorflow-generative-model-collections

Collection of generative models in Tensorflow

awesome-deep-text-detection-recognition

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

tensorflow-mnist-VAE

Tensorflow implementation of variational auto-encoder for MNIST

awesome-deep-vision-web-demo

A curated list of awesome deep vision web demo

tensorflow-style-transfer

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

tensorflow-fast-style-transfer

A simple, concise tensorflow implementation of fast style transfer

tensorflow-mnist-cnn

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

tensorflow-mnist-CVAE

Tensorflow implementation of conditional variational auto-encoder for MNIST

tensorflow-mnist-AAE

Tensorflow implementation of adversarial auto-encoder for MNIST

tensorflow-mnist-MLP-batch_normalization-weight_initializers

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

numpy-neuralnet-exercise

Implementation of key concepts of neuralnetwork via numpy

tensorflow-GAN-1d-gaussian-ex

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