Tensornets

Latest version: v0.4.6

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0.4.6

Areas of improvement

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

API changes

- Update `init`, `load`, and `save` (see [examples](https://github.com/taehoonlee/tensornets/blob/master/tests/basics_test.pyL225-L270)).

Breaking changes

None.

0.4.5

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.

0.4.3

Areas of improvement

None.

API changes

- Add EfficientNet with pretrained weights (56).

Breaking changes

None.

0.4.2

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.

0.4.1

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.

0.4.0

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.

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