…ling layers are give keras.layers.Layer implementations for building blocks common to pretrained models. They can be used to create a new model from scratch, or to extend a pretrained model.
…nt benchmarks. Using AI-enabled deliberative tools, our community models platform lets communities create and refine AI models based on collectively-defined constitutions. If AI is going to …
… AI, and Cloud Native ecosystems. We enable teams to deliver more models, agents, and AI applications into production with well-lit paths across the AI lifecycle. By bringing together the sk…
…sing layers can be used to create custom preprocessing pipelines for pretrained models. Preprocessing layers are all compatible with tf.data, even when running on the jax and torch backends.
Base class for all Task models. A Task wraps a keras_hub.models.Backbone and a keras_hub.models.Preprocessor to create a model that can be directly used for training, fine-tuning, and predic…
…learning techniques to better understand chromatin biology. These models and algorithms transform high-dimensional functional genomics data into interpretable patterns and lead to new biolog…
…d, no matter what your stack. We offer a wide range of engagement models to meet our clients’ needs. From hourly consultation to fully managed solutions, our engagement models are designed t…
…e plays robotics In project Fetch, we examined how humans can use models to get robots to perform complex tasks. Now, we investigate many models on a large variety of different robotics task…