examples

tensorpack examples

Training examples with reproducible performance.

Reproducing a method is usually easy, but you don't know whether you've made mistakes, because wrong code will often appear to work. Reproducible performance results are what really matters. See Unawareness of Deep Learning Mistakes.

Getting Started:

• An illustrative mnist example with explanation of the framework
• The same mnist example using tf-slim, Keras layers, Higher-level Keras and with weights visualizations
• A tiny Cifar ConvNet and SVHN ConvNet
• A boilerplate file to start with, for your own tasks

Vision:

Name	Performance
Train ResNet and ShuffleNet on ImageNet	reproduce paper
Train Faster-RCNN / Mask-RCNN on COCO	reproduce paper
DoReFa-Net: training binary / low-bitwidth CNN on ImageNet	reproduce paper
Generative Adversarial Network(GAN) variants, including DCGAN, InfoGAN, Conditional GAN, WGAN, BEGAN, DiscoGAN, Image to Image, CycleGAN	visually reproduce
Inception-BN and InceptionV3	reproduce reference code
Fully-convolutional Network for Holistically-Nested Edge Detection(HED)	visually reproduce
Spatial Transformer Networks on MNIST addition	reproduce paper
Visualize CNN saliency maps	visually reproduce
Similarity learning on MNIST
Learn steering filters with Dynamic Filter Networks	visually reproduce
Load a pre-trained AlexNet, VGG16, or Convolutional Pose Machines

Reinforcement Learning:

Name	Performance
Deep Q-Network(DQN) variants on Atari games, including DQN, DoubleDQN, DuelingDQN.	reproduce paper
Asynchronous Advantage Actor-Critic(A3C) on Atari games	reproduce paper

Speech / NLP:

Name	Performance
LSTM-CTC for speech recognition	reproduce paper
char-rnn for fun	fun
LSTM language model on PennTreebank	reproduce reference code