Developer guides

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form.onsubmit = function(e) { e.preventDefault(); var query = document.getElementById('search-input').value; window.location.href = '/search.html?query=' + query; return False } </script> </div> <div class='k-main-inner' id='k-main-id'> <div class='k-location-slug'> <span class="k-location-slug-pointer">►</span> Developer guides </div> <div class='k-content'> <h1 id="developer-guides">Developer guides</h1> <p>Our developer guides are deep-dives into specific topics such as layer subclassing, fine-tuning, or model saving. They're one of the best ways to become a Keras expert.</p> <p>Most of our guides are written as Jupyter notebooks and can be run in one click in <a href="https://colab.research.google.com/notebooks/welcome.ipynb">Google Colab</a>, a hosted notebook environment that requires no setup and runs in the cloud. Google Colab includes GPU and TPU runtimes.</p> <h2 id="available-guides">Available guides</h2> <ul> <li><a href="/guides/functional_api/">The Functional API</a></li> <li><a href="/guides/sequential_model/">The Sequential model</a></li> <li><a href="/guides/making_new_layers_and_models_via_subclassing/">Making new layers & models via subclassing</a></li> <li><a href="/guides/training_with_built_in_methods/">Training & evaluation with the built-in methods</a></li> <li><a href="/guides/custom_train_step_in_jax/">Customizing <code>fit()</code> with JAX</a></li> <li><a href="/guides/custom_train_step_in_tensorflow/">Customizing <code>fit()</code> with TensorFlow</a></li> <li><a href="/guides/custom_train_step_in_torch/">Customizing <code>fit()</code> with PyTorch</a></li> <li><a href="/guides/writing_a_custom_training_loop_in_jax/">Writing a custom training loop in JAX</a></li> <li><a href="/guides/writing_a_custom_training_loop_in_tensorflow/">Writing a custom training loop in TensorFlow</a></li> <li><a href="/guides/writing_a_custom_training_loop_in_torch/">Writing a custom training loop in PyTorch</a></li> <li><a href="/guides/serialization_and_saving/">Serialization & saving</a></li> <li><a href="/guides/customizing_saving_and_serialization/">Customizing saving & serialization</a></li> <li><a href="/guides/writing_your_own_callbacks/">Writing your own callbacks</a></li> <li><a href="/guides/transfer_learning/">Transfer learning & fine-tuning</a></li> <li><a href="/guides/distributed_training_with_jax/">Distributed training with JAX</a></li> <li><a href="/guides/distributed_training_with_tensorflow/">Distributed training with TensorFlow</a></li> <li><a href="/guides/distributed_training_with_torch/">Distributed training with PyTorch</a></li> <li><a href="/guides/distribution/">Distributed training with Keras 3</a></li> <li><a href="/guides/migrating_to_keras_3/">Migrating Keras 2 code to Keras 3</a></li> </ul> <h3 id="hyperparameter-tuning"><a href="/guides/keras_tuner/">Hyperparameter Tuning</a></h3> <ul> <li><a href="/guides/keras_tuner/getting_started">Getting started with KerasTuner</a></li> <li><a href="/guides/keras_tuner/distributed_tuning">Distributed hyperparameter tuning with KerasTuner</a></li> <li><a href="/guides/keras_tuner/custom_tuner">Tune hyperparameters in your custom training loop</a></li> <li><a href="/guides/keras_tuner/visualize_tuning">Visualize the hyperparameter tuning process</a></li> <li><a href="/guides/keras_tuner/failed_trials">Handling failed trials in KerasTuner</a></li> <li><a href="/guides/keras_tuner/tailor_the_search_space">Tailor the search space</a></li> </ul> <h3 id="kerascv"><a href="/guides/keras_cv/">KerasCV</a></h3> <ul> <li><a href="/guides/keras_cv/object_detection_keras_cv">Use KerasCV to assemble object detection pipelines</a></li> <li><a href="/guides/keras_cv/classification_with_keras_cv">Use KerasCV to train powerful image classifiers.</a></li> <li><a href="/guides/keras_cv/cut_mix_mix_up_and_rand_augment">CutMix, MixUp, and RandAugment image augmentation with KerasCV</a></li> <li><a href="/guides/keras_cv/generate_images_with_stable_diffusion">High-performance image generation using Stable Diffusion in KerasCV</a></li> <li><a href="/guides/keras_cv/custom_image_augmentations">Custom Image Augmentations with BaseImageAugmentationLayer</a></li> <li><a href="/guides/keras_cv/semantic_segmentation_deeplab_v3_plus">Semantic Segmentation with KerasCV</a></li> <li><a href="/guides/keras_cv/segment_anything_in_keras_cv">Segment Anything in KerasCV</a></li> </ul> <h3 id="kerasnlp"><a href="/guides/keras_nlp/">KerasNLP</a></h3> <ul> <li><a href="/guides/keras_nlp/getting_started">Getting Started with KerasNLP</a></li> <li><a href="/guides/keras_nlp/transformer_pretraining">Pretraining a Transformer from scratch with KerasNLP</a></li> <li><a href="/guides/keras_nlp/upload">Uploading Models with KerasNLP</a></li> </ul> <h3 id="kerashub"><a href="/guides/keras_hub/">KerasHub</a></h3> <ul> <li><a href="/guides/keras_hub/getting_started">Getting Started with KerasHub</a></li> <li><a href="/guides/keras_hub/semantic_segmentation_deeplab_v3">Semantic Segmentation with KerasHub</a></li> <li><a href="/guides/keras_hub/transformer_pretraining">Pretraining a Transformer from scratch with KerasHub</a></li> <li><a href="/guides/keras_hub/upload">Uploading Models with KerasHub</a></li> <li><a href="/guides/keras_hub/classification_with_keras_hub">Classification with KerasHub</a></li> <li><a href="/guides/keras_hub/segment_anything_in_keras_hub">Segment Anything in KerasHub</a></li> <li><a href="/guides/keras_hub/stable_diffusion_3_in_keras_hub">Stable Diffusion 3 in KerasHub</a></li> </ul> </div> <div class='k-outline'> <div class='k-outline-depth-1'> <a href='#developer-guides'>Developer guides</a> </div> <div class='k-outline-depth-2'> ◆ <a href='#available-guides'>Available guides</a> </div> <div class='k-outline-depth-3'> <a href='#hyperparameter-tuning'>Hyperparameter Tuning</a> </div> <div class='k-outline-depth-3'> <a href='#kerascv'>KerasCV</a> </div> <div class='k-outline-depth-3'> <a href='#kerasnlp'>KerasNLP</a> </div> <div class='k-outline-depth-3'> <a href='#kerashub'>KerasHub</a> </div> </div> </div> </div> </div> </body> <footer style="float: left; width: 100%; padding: 1em; border-top: solid 1px #bbb;"> <a href="https://policies.google.com/terms">Terms</a> | <a href="https://policies.google.com/privacy">Privacy</a> </footer> </html>

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