Keras Core 0.1.4 release

Highlights

• Add Lion optimizer
• Enable model.predict() and model.evaluate() with the NumPy backend
• Add ops cosh, sinh, arctanh, arcsinh, arccosh
• Add ops segment_max, digitize
• Bug fixes and performance improvements

What's Changed

• Set min TF Version by @sampathweb in #619
• Avoid some tree operations by @haifeng-jin in #620
• Add Lion optimizer by @james77777778 in #610
• Typo in layer tutorial by @guillaumebaquiast in #624
• fix load of models with Add and Concat layers by @freedomtan in #626
• Port/test learnable resizer to keras core backend agnostic by @anas-rz in #622
• Port fixres keras core by @anas-rz in #630
• Only ignore xx_mask arguments for the build shapes dict by @mattdangerw in #632
• Add numpy trainer by @james77777778 in #633
• [split_dataset] migrating from tf.keras to keras_core by @asingh9530 in #505
• Add hyperbolic ops by @FayazRahman in #634
• Port visualizing what convnets learn by @anas-rz in #640
• Port the ImageClassifier guide to keras_core by @tirthasheshpatel in #608
• Port simsiam to keras-core by @anas-rz in #644
• Fix the ImageClassifier demo and minimize the use of tensorflow by @tirthasheshpatel in #645
• Port neural decision forest by @anas-rz in #631
• Removes ref in Global Average Pool and Elu/Prelu Activations by @sampathweb in #646
• Small fixes on image.extract_patches by @guillaumebaquiast in #647
• Fix the missing weight name for Dense layer by @qlzh727 in #648
• Update learning_rate type to float in learning_rate_scheduler's logs by @siyavash in #649
• Performance improvement for MHA by @haifeng-jin in #654
• Add digitize op for Discretization layer by @abuelnasr0 in #641
• support passing jax.random.PRNGKey inputs in jax by @GallagherCommaJack in #651
• Removes tf.keras from Pooling tests - Max, Average and Global pooling by @sampathweb in #657
• Add numpy bincount docstrings by @dranaivo in #655
• Add a segment_max op by @ianstenbit in #660
• Port mlp_image_classification.py to all backends by @guillaumebaquiast in #663
• update requirements for all cpu install by @haifeng-jin in #666
• Random rotation port by @kamathis4 in #584
• Port TensorFlow implementation of the RandomCrop layer by @soumik12345 in #493
• Backend agnostic port of object detection using vit by @soumik12345 in #668
• Remove self.support_jit = False in RandomFlip by @james77777778 in #665
• Port Compact Convolutional Transformers to backend agnostic by @guillaumebaquiast in #669
• Move mlp_image_classification to backend agnostic folder by @guillaumebaquiast in #671
• Change saving API routing to deprecate SavedModel format by @nkovela1 in #674
• Convert neural machine translation with transformer to keras-core by @freedomtan in #623
• Make ner transformers work again by @freedomtan in #675
• Do not default to file root by @grasskin in #678
• Convert "text generation with miniature gpt" to Keras Core by @freedomtan in #676
• torch image added by @asingh9530 in #659
• Added some docstrings ops/nn.py by @Frightera in #677

New Contributors

• @asingh9530 made their first contribution in #505
• @FayazRahman made their first contribution in #634
• @siyavash made their first contribution in #649
• @abuelnasr0 made their first contribution in #641
• @dranaivo made their first contribution in #655

Full Changelog: v0.1.3...v0.1.4