* Internal method used by backends. Makes a new tensor that is a wrapper * around an existing data id in TensorInfo. It doesn't create a new data i

* Constructs a `tf.RMSPropOptimizer` that uses RMSProp gradient * descent. This implementation uses plain momentum and is not centered * version

* Set user-defined metadata. * * The set metadata will be serialized together with the topology * and weights of the model during `save()` ca

* Adds an item to the beginning of the buffer.

Determine user's answer for the key is in the value list. Args: answer: Dict of user's answers to the questions. key: question key. valu

Benchmark a model's fit() and predict() calls; serialize the model. Args: model_fn: A function that creates the saved model. model_path: Pa

* Dispose the tensors and handle and clear the hashtable.

* Generate a unique id/name for the given setting. tfvis uses tab name as the * index for the tab. * * @param {?Object<string, string>=} browserCo

* Runs a single gradient update on a single batch of data. * * This method differs from `fit()` and `fitDataset()` in the following * regards

* Helper method to write multiple tensors to the specified indices.

Load a Keras Model from artifacts generated by tensorflow.js and inputs. Make inference with the model and inputs. Write outputs to file.

* Constructs a `tf.AdamOptimizer` that uses the Adam algorithm. * See [https://arxiv.org/abs/1412.6980](https://arxiv.org/abs/1412.6980) * *

* Overrides the gradient computation of a function `f`. * * Takes a function * `f(...inputs, save) => {value: Tensor, gradFunc: (dy, saved) => Tens

Returns the smallest representable number.

* Executes a TensorFlow Eager Op that provides multiple output Tensors. * @param name The name of the Op to execute. * @param opAttrs The list o

* Called right before processing a batch. * @param batch Index of batch within the current epoch. * @param logs Dictionary of logs.

* Pop a tensor from the end of the list. * @param elementShape shape of the tensor * @param elementDtype data type of the tensor

* Put the entry into the cache. If the key already existed, mark the key as * used recently.

* Register a load-handler router. * * @param loadRouter A function that maps a URL-like string onto an instance * of `IOHandler` with the `lo

* Register a save-handler router. * * @param saveRouter A function that maps a URL-like string onto an instance * of `IOHandler` with the `sa

* Generate random input(s), get predict() output(s), and save them along with * the model. * * @param model The `tf.LayersModel` instance in questi

Prints a brief usage string and exits, optionally with an error message. Args: message: The optional error message.