神刀安全网

Tutorial: TensorFlow Simplified Interface Examples

TFLearn Examples

Basics

  • Linear Regression. Implement a linear regression using TFLearn.
  • Logical Operators. Implement logical operators with TFLearn (also includes a usage of ‘merge’).
  • Weights Persistence. Save and Restore a model.
  • Fine-Tuning. Fine-Tune a pre-trained model on a new task.
  • Using HDF5. Use HDF5 to handle large datasets.
  • Using DASK. Use DASK to handle large datasets.

Extending Tensorflow

  • Layers. Use TFLearn layers along with Tensorflow.
  • Trainer. Use TFLearn trainer class to train any Tensorflow graph.
  • Built-in Ops. Use TFLearn built-in operations along with Tensorflow.
  • Summaries. Use TFLearn summarizers along with Tensorflow.
  • Variables. Use TFLearn variables along with Tensorflow.

Computer Vision

  • Multi-layer perceptron . A multi-layer perceptron implementation for MNIST classification task.
  • Convolutional Network (MNIST) . A Convolutional neural network implementation for classifying MNIST dataset.
  • Convolutional Network (CIFAR-10) . A Convolutional neural network implementation for classifying CIFAR-10 dataset.
  • Network in Network. ‘Network in Network’ implementation for classifying CIFAR-10 dataset.
  • Alexnet. Apply Alexnet to Oxford Flowers 17 classification task.
  • VGGNet. Apply VGG Network to Oxford Flowers 17 classification task.
  • RNN Pixels. Use RNN (over sequence of pixels) to classify images.
  • Residual Network (MNIST) . A residual network with shallow bottlenecks applied to MNIST classification task.
  • Residual Network (CIFAR-10) . A residual network with deep bottlenecks applied to CIFAR-10 classification task.
  • Auto Encoder. An auto encoder applied to MNIST handwritten digits.

Natural Language Processing

  • Reccurent Network (LSTM) . Apply an LSTM to IMDB sentiment dataset classification task.
  • Bi-Directional LSTM. Apply a bi-directional LSTM to IMDB sentiment dataset classification task.
  • City Name Generation. Generates new US-cities name, using LSTM network.
  • Shakespeare Scripts Generation . Generates new Shakespeare scripts, using LSTM network.

Notebooks

转载本站任何文章请注明:转载至神刀安全网,谢谢神刀安全网 » Tutorial: TensorFlow Simplified Interface Examples

分享到:更多 ()

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址