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Multi-layer perceptron (MNIST). A multi-layer perceptron implementation for MNIST classification task, see tutorial_mnist_simple.py on GitHub.
Computer Vision
Denoising Autoencoder (MNIST). A multi-layer perceptron implementation for MNIST classification task, see tutorial_mnist.py on GitHub.
Stacked Denoising Autoencoder and Fine-Tuning (MNIST). A multi-layer perceptron implementation for MNIST classification task, see tutorial_mnist.py on GitHub.
Convolutional Network (MNIST). A Convolutional neural network implementation for classifying MNIST dataset, see tutorial_mnist.py on GitHub.
Convolutional Network (CIFAR-10). A Convolutional neural network implementation for classifying CIFAR-10 dataset, see tutorial_cifar10.py and tutorial_cifar10_tfrecord.pyon GitHub.
VGG 16 (ImageNet). A Convolutional neural network implementation for classifying ImageNet dataset, see tutorial_vgg16.py on GitHub.
VGG 19 (ImageNet). A Convolutional neural network implementation for classifying ImageNet dataset, see tutorial_vgg19.py on GitHub.
InceptionV3 (ImageNet). A Convolutional neural network implementation for classifying ImageNet dataset, see tutorial_inceptionV3_tfslim.py on GitHub.
More CNN implementations of TF-Slim can be connected to TensorLayer via SlimNetsLayer.
Natural Language Processing
Recurrent Neural Network (LSTM). Apply multiple LSTM to PTB dataset for language modeling, see tutorial_ptb_lstm_state_is_tuple.py on GitHub.
Word Embedding - Word2vec. Train a word embedding matrix, see tutorial_word2vec_basic.py on GitHub.
Restore Embedding matrix. Restore a pre-train embedding matrix, see tutorial_generate_text.py on GitHub.
Text Generation. Generates new text scripts, using LSTM network, see tutorial_generate_text.py on GitHub.
Machine Translation (WMT). Translate English to French. Apply Attention mechanism and Seq2seq to WMT English-to-French translation data, see tutorial_translate.py on GitHub.
Reinforcement Learning
Deep Reinforcement Learning - Pong Game. Teach a machine to play Pong games, see tutorial_atari_pong.py on GitHub.
Applications
Image Captioning - Reimplementation of Google's im2txt by zsdonghao.