Skip to content

Added examples migrated to Keras 3 in examples_master.py #2246

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
sachinprasadhs merged 3 commits into from
Jan 21, 2026
Merged

Added examples migrated to Keras 3 in examples_master.py #2246

Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
29d4c07
add examples updated to keras 3 in examples_master.py
dhantule Jan 16, 2026
8af11f4
removed speaker recognition and fixed formatting
dhantule Jan 16, 2026
6cd2f44
fixed ordering of examples
dhantule Jan 19, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
66 changes: 54 additions & 12 deletions scripts/examples_master.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -132,6 +132,12 @@
"subcategory": "Image classification",
"keras_3": True,
},
{
"path": "forwardforward",
"title": "Using the Forward-Forward Algorithm for Image Classification",
"subcategory": "Image classification",
"keras_3": True,
},
# Image segmentation
{
"path": "oxford_pets_image_segmentation",
Expand All @@ -150,6 +156,7 @@
"path": "basnet_segmentation",
"title": "Highly accurate boundaries segmentation using BASNet",
"subcategory": "Image segmentation",
"keras_3": True,
},
{
"path": "fully_convolutional_network",
Expand Down Expand Up @@ -349,6 +356,12 @@
"subcategory": "Image similarity search",
"keras_3": True,
},
{
"path": "simsiam",
"title": "Self-supervised contrastive learning with SimSiam",
"subcategory": "Image similarity search",
"keras_3": True,
},
# Video
{
"path": "video_classification",
Expand Down Expand Up @@ -454,6 +467,7 @@
"path": "multi_label_classification",
"title": "Large-scale multi-label text classification",
"subcategory": "Text classification",
"keras_3": True,
},
{
"path": "text_classification_with_transformer",
Expand Down Expand Up @@ -515,6 +529,7 @@
"path": "multimodal_entailment",
"title": "Multimodal entailment",
"subcategory": "Entailment prediction",
"keras_3": True,
},
# Named entity recognition
{
Expand Down Expand Up @@ -644,6 +659,12 @@
"subcategory": "Structured data classification",
"keras_3": True,
},
{
"path": "class_with_grn_and_vsn_with_hyperparameters_tuning",
"title": "Classification with Gated Residual and Variable Selection Networks with HyperParameters tuning",
"subcategory": "Structured data classification",
"keras_3": True,
},
# Recommendation
{
"path": "collaborative_filtering_movielens",
Expand Down Expand Up @@ -690,6 +711,12 @@
"subcategory": "Timeseries classification",
"keras_3": True,
},
{
"path": "eeg_bci_ssvepformer",
"title": "Electroencephalogram Signal Classification for Brain-Computer Interface",
"subcategory": "Timeseries classification",
"keras_3": True,
},
# Anomaly detection
{
"path": "timeseries_anomaly_detection",
Expand Down Expand Up @@ -903,6 +930,12 @@
"subcategory": "Speech recognition",
"keras_3": True,
},
{
"path": "stft",
"title": "Audio Classification with the STFTSpectrogram layer",
"subcategory": "Audio classification",
"keras_3": True,
},
# Rest will be autogenerated
],
},
Expand Down Expand Up @@ -951,6 +984,7 @@
"title": "Quick Keras Recipes",
"toc": True,
"children": [
# Keras usage tips
{
"path": "parameter_efficient_finetuning_of_gemma_with_lora_and_qlora",
"title": "Parameter-efficient fine-tuning of Gemma with LoRA and QLoRA",
Expand All @@ -963,12 +997,6 @@
"subcategory": "Keras usage tips",
"keras_3": True,
},
{
"path": "tf_serving",
"title": "Serving TensorFlow models with TFServing",
"subcategory": "Serving",
"keras_3": True,
},
{
"path": "debugging_tips",
"title": "Keras debugging tips",
Expand Down Expand Up @@ -1011,6 +1039,26 @@
"subcategory": "Keras usage tips",
"keras_3": True,
},
{
"path": "packaging_keras_models_for_wide_distribution",
"title": "Packaging Keras models for wide distribution using Functional Subclassing",
"subcategory": "Keras usage tips",
"keras_3": True,
},
{
"path": "approximating_non_function_mappings",
"title": "Approximating non-Function Mappings with Mixture Density Networks",
"subcategory": "Keras usage tips",
"keras_3": True,
},
# Serving
{
"path": "tf_serving",
"title": "Serving TensorFlow models with TFServing",
"subcategory": "Serving",
"keras_3": True,
},
# ML best practices
{
"path": "sample_size_estimate",
"title": "Estimating required sample size for model training",
Expand All @@ -1029,12 +1077,6 @@
"subcategory": "ML best practices",
"keras_3": True,
},
{
"path": "packaging_keras_models_for_wide_distribution",
"title": "Packaging Keras models for wide distribution using Functional Subclassing",
"subcategory": "Keras usage tips",
"keras_3": True,
},
# Rest will be autogenerated
],
},
Expand Down