hwalsuklee

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

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

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

compare_gan. Python