…f fixed size. e.g. [[4], [20]] -> [[0.25, 0.1], [0.6, -0.2]] This layer can only be used on nonnegative integer inputs of a fixed range. 2D tensor with shape: (batch_size, input_length). 3D …
This is the class from which all layers inherit. A layer is a callable object that takes as input one or more tensors and that outputs one or more tensors. It involves computation, defined i…
…eady inputs. This conversion proceeds in the following steps: The layer will take as input a raw image tensor in the channels last or channels first format, and output a preprocessed image i…
Augments input by randomly swapping words. This layer comes in handy when you need to generate new data using swap augmentations as described in the paper [EDA: Easy Data Augmentation Techni…
… write custom preprocessing code that is not model specific. This layer should be instantiated via the from_preset() constructor, which will create the correct subclass of this layer for the…
…art and end tokens to a sequence and pads to a fixed length. This layer is useful when tokenizing inputs for tasks like translation, where each sequence should include a start and end marker…
…ks multiple sequences into a single fixed width model input. This layer packs multiple input sequences into a single fixed width sequence containing start and end delimeters, forming a dense…
GptOss Causal LM preprocessor. This preprocessing layer is meant for use with keras_hub.models.GptOssCausalLM. By default, it will take in batches of strings, and return outputs in a (x, y, …
…for RFC consumers. The IETF has approved publication of Messaging Layer Security (MLS), a new standard for end-to-end security that will make it easy for apps to provide the highest level of…
Layers are the basic building blocks of neural networks in Keras. A layer consists of a tensor-in tensor-out computation function (the layer's call method) and some state, held in TensorFlow…