• TensorLayer provides two set of Convolutional layer APIs, see (Professional)and (Simplified) on readthedocs website.
• If you get into trouble, you can start a discussion on Gitter, Help Wanted Issues, QQ group and Wechat group.

• Multi-layer perceptron (MNIST). A multi-layer perceptron implementation for MNIST classification task, see tutorial_mnist_simple.py.

• Denoising Autoencoder (MNIST). A multi-layer perceptron implementation for MNIST classification task, see tutorial_mnist.py.
• Stacked Denoising Autoencoder and Fine-Tuning (MNIST). A multi-layer perceptron implementation for MNIST classification task, see tutorial_mnist.py.
• Convolutional Network (MNIST). A Convolutional neural network implementation for classifying MNIST dataset, see tutorial_mnist.py.
• Convolutional Network (CIFAR-10). A Convolutional neural network implementation for classifying CIFAR-10 dataset, see tutorial_cifar10.py and tutorial_cifar10_tfrecord.py.
• VGG 16 (ImageNet). A Convolutional neural network implementation for classifying ImageNet dataset, see tutorial_vgg16.py.
• VGG 19 (ImageNet). A Convolutional neural network implementation for classifying ImageNet dataset, see tutorial_vgg19.py.
• InceptionV3 (ImageNet). A Convolutional neural network implementation for classifying ImageNet dataset, see tutorial_inceptionV3_tfslim.py.
• Wild ResNet (CIFAR) by ritchieng.
• More CNN implementations of TF-Slim <https://github.com/tensorflow/models/tree/master/slim#pre-trained-models>_ can be connected to TensorLayer via SlimNetsLayer.

• Recurrent Neural Network (LSTM). Apply multiple LSTM to PTB dataset for language modeling, see tutorial_ptb_lstm_state_is_tuple.py.
• Word Embedding - Word2vec. Train a word embedding matrix, see tutorial_word2vec_basic.py.
• Restore Embedding matrix. Restore a pre-train embedding matrix, see tutorial_generate_text.py.
• Text Generation. Generates new text scripts, using LSTM network, see tutorial_generate_text.py.
• Machine Translation (WMT). Translate English to French. Apply Attention mechanism and Seq2seq to WMT English-to-French translation data, see tutorial_translate.py.

• Deep Reinforcement Learning - Pong Game. Teach a machine to play Pong games, see tutorial_atari_pong.py.

• Image Captioning - Reimplementation of Google's im2txt by zsdonghao.

• Merge TF-Slim into TensorLayer. tutorial_inceptionV3_tfslim.py.
• MultiplexerLayer. tutorial_mnist_multiplexer.py.
• Data augmentation with TFRecord. Effective way to load and pre-process data, see tutorial_tfrecord*.py and tutorial_cifar10_tfrecord.py.
• Data augmentation with TensorLayer, see tutorial_image_preprocess.py.