TFLearn changelog

Changelog History

• v0.5.0 Changes

  November 11, 2020

  Major changes:

  • 👍 TensorFlow 2.3.0 support
  • 🔨 Refactoring source to use tf.compat.v1

  Minor changes:

  • 📚 Update documentation
  • Various bug fix

• v0.3.2 Changes

  June 18, 2017

  Major changes:

  • 👍 TensorFlow 1.2.0 support

  Minor changes:

  • GAN and DCGAN examples
  • SELU activation
  • Weighted Cross-Entropy
  • Various bug fix

• v0.3.1 Changes

  May 18, 2017

  Minor changes:

  • 👍 Grouped Convolution support (depthwise conv).
  • VAE and ResNeXt Examples.
  • 🆕 New optimizers.
  • 🆕 New activation functions.
  • Various bug fix.

• v0.3.0 Changes

  February 20, 2017

  Major changes:

  • TensorFlow 1.0 compatibility

  Minor changes:

  • 🔨 Documents refactoring.
  • Inception-ResNet-v2 Example.
  • CIFAR-100 Dataset.
  • ➕ Added time monitoring.
  • Various bug fix.

• v0.2.2 Changes

  August 11, 2016

  • 👌 Support for 3D conv ops
  • New layers: time_distributed, l2_normalize
  • 👍 RNNs support for batch norm
  • ➕ Added an option to save the best model
  • Seq2seq and Reinforcement learning examples
  • Beginner tutorial
  • Others minor changes
  • Various bug fix

• v0.2.1 Changes

  June 10, 2016

  • Various bug fix
  • State of the art result for Residual Networks
  • FCN objective & Upscore layer

• v0.2.0 Changes

  May 31, 2016

  Major changes:

  • DataFlow: A data pipeline for faster computing.
  • 👍 Data Augmentation and data preprocessing support.
  • 👍 Layers now support any custom function as parameter.
  • ✅ Basic tests.
  • Highway network architecture.
  • AUC objective function.
  • 🆕 New examples.

  Minor changes:

  • Residual net fix.
  • Notebook display issues fix.
  • Datasets fix.
  • Various other bugs fix.
  • More exceptions.

• v0.1.0 Changes

  May 31, 2016

  🎉 Initial release