Major changes: - TensorFlow 2.3.0 support - Refactoring source to use tf.compat.v1
Minor changes: - Update documentation - Various bug fix
0.4.0
Major changes: - Added new estimators (RandomForest, KMeans)
Minor changes: - Added distance ops - Various bug fix
0.3.2
Major changes: - TensorFlow 1.2.0 support
Minor changes: - GAN and DCGAN examples - SELU activation - Weighted Cross-Entropy - Various bug fix
0.3.1
Minor changes: - Grouped Convolution support (depthwise conv). - VAE and ResNeXt Examples. - New optimizers. - New activation functions. - Various bug fix.
0.3.0
Major changes: - TensorFlow 1.0 compatibility
Minor changes: - Documents refactoring. - Inception-ResNet-v2 Example. - CIFAR-100 Dataset. - Added time monitoring. - Various bug fix.
0.2.2
Minor changes: - 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