Tensornets Versions Save

Areas of improvement

• Fix the failure when required packages was not installed (#60).

API changes

• Update init, load, and save (see examples).

Breaking changes

None.

Areas of improvement

None.

API changes

• Add init, load, and save.
• Add MobileNetv3 with pretrained weights (#58).
• Add names as parameter of middles, outputs, and weights.

Breaking changes

None.

Areas of improvement

None.

API changes

• Add EfficientNet with pretrained weights (#56).

Breaking changes

None.

Areas of improvement

• TF 2 supports (#55).
• Suppression of deprecation warnings for TF 1.14 and 1.15.
• Unit tests / CI improvements.
• Update of the performance table to follow the recent report format.

API changes

• Add reduce_max and swish.
• Add weights_regularizer as a parameter of set_args.

Breaking changes

None.

Areas of improvement

• Readability improvements.
• A bug fix for pretrained_initializer with the latest NumPy.
• Unit tests / CI improvements.
• Addition of evaluation codes for all imagenet models (see #49).

API changes

• Add logits to access a logits tensor directly.
• Add middles() which is equivalent to get_middles().
• Add outputs() which is equivalent to get_outputs().
• Add weights() which is equivalent to get_weights().
• Add summary() which is equivalent to print_summary().

Breaking changes

None.

Areas of improvement

• Reproducibility improvements.
  • Revise pretrained weight of Inception 3 (the top-5 accuracy increased by 0.038%).
  • Add missing relu in Inception2 (the top-5 accuracy increased by 0.468%).
• Bug fixes within variable_scope and name_scope (see #43).
• Unit tests / CI improvements.
• Documentation improvements.

API changes

None.

Breaking changes

None.

This is a small release that resolves installation issues on Windows.

Areas of improvement

• Reproducibility improvements.
  • Add missing relu in DenseNet (the top-5 accuracies increased by 2.58-3.2%).
  • Revise the zero paddings of pool1 in ResNets (the top-5 accuracies increased by 0.6-1.16%).
• Unit tests / CI improvements.
  • Disable tests if only README has been changed.
• New APIs: MS COCO utils.

API changes

• Add MS COCO utils.
• Add training data loader for VOC.
• Add training codes for YOLOv2.

Breaking changes

None.

Note that the following descriptions include changes for the 0.3.3. Additionally, The 0.3.2 doesn't exist due to PyPI conflicts.

Areas of improvement

• Bug fixes.
• New APIs: image classification and object detection models.
• Unit tests / CI improvements.
• Documentation improvements.
• Float16 supporting improvements (see #14).
• Python 3 compatibility improvements.

API changes

• Add image classification models (Darknet19, MobileNet35v2, ..., MobileNet140v2, and PNASNetlarge).
• Add references object detection models (YOLOv3VOC and YOLOv3COCO).
• Add operations (local_flatten and upsample).

Breaking changes

None.

This is a small release that improves dependency importing and resolves PyPI conflicts.