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Commits on Oct 8, 2024

• Add missing outputs, fixes #164

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Commits on Oct 6, 2024

• Use tf_keras instead of Keras 3

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• Use tf_keras instead of Keras 3

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• Use tf_keras instead of Keras 3

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• Use Keras 2 (via tf_keras) for this chapter, fixes #163

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Commits on Oct 5, 2024

• Update notebook to latest Colab library versions

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• Update notebook to latest Colab library versions

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• Add missing custom_objects in load_model()

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• Save model using .keras extension

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• Update notebook to latest Colab library versions

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• Update notebook to latest Colab library versions

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• Fix import keras.layers for AlphaDropout

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• Update notebook to latest Colab library versions

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Commits on Oct 4, 2024

• Change cell from markdown to code

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• Update notebook to latest Colab library versions

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Commits on Jun 4, 2024

• Update code to latest version of Pandas, fixes #633

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Commits on Jun 3, 2024

• Merge branch 'main' of github.com:ageron/handson-ml3

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• Add notebook extra_ann_architectures.ipynb

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Commits on May 31, 2024

• Merge pull request #126 from dlams/main

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Commits on Mar 20, 2024

• Fix typo in docker/README.md

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Commits on Jan 31, 2024

• Reverse increasing/decreasing learning rate in solution to exercises 6 and 7, fixes #117

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• Rename svm_clf to svm_reg in chapter 5 exercise, fixes #120

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Commits on Jan 30, 2024

• Replace jupyter notebook with jupyter lab in docker-compose.yml

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• Replace gym with gymnasium

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Commits on Jan 19, 2024

• Remove a warning when computing left_proba

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Commits on Jan 18, 2024

• Replace OpenAI Gym with Gymnasium and fix box-2d installation bug

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Commits on Jan 10, 2024

• Do not reuse optimizer from previous model

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Commits on Nov 16, 2023

• Remove tensorboard.dev code examples since the service will shut down in December 2023

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Commits on Nov 15, 2023

• Add missing math import and n_epochs = 20

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• Reorganize the scheduler section to focus on Keras schedulers

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Commits on Nov 14, 2023

• Set dual=True in LinearSVC and LinearSVR to avoid warning

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• Use AdamW from tf.keras.optimizers instead of TensorFlow-Addons

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• Update libraries

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• Add a note about the fact that KMeans init changed in Scikit-Learn 1.3 so results will differ

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• Rename sparse to sparse_output in OneHotEncoder, set numeric_only=True in corr(), set n_init=10 in KMeans

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