What do you need to know about TensorFlow datasets?

What do you need to know about TensorFlow datasets?

tensorflow/datasets is a library of public datasets ready to use with TensorFlow. Each dataset definition contains the logic necessary to download and prepare the dataset, as well as to read it into a model using the tf.data.Dataset API. Usage outside of TensorFlow is also supported. See the README on GitHub for further documentation.

What can you do with TensorFlow Lite on Android?

TensorFlow can be used anywhere from training huge models across clusters in the cloud, to running models locally on an embedded system like your phone. This codelab uses TensorFlow Lite to run an image recognition model on an Android device. How to convert your model using the TFLite converter.

What can you do with a TensorFlow developer certificate?

This certificate in TensorFlow development is intended as a foundational certificate for students, developers, and data scientists who want to demonstrate practical machine learning skills through the building and training of models using TensorFlow.

How to use TensorFlow to recognize a flower?

A simple camera app that runs a TensorFlow image recognition program to identify flowers. 2. Train a flower recognizer using Colab This codelab will be using Colaboratory and Android Studio. Be sure that you downloaded the trained model (model.tflite) and labels (labels.txt) before continuing.

tensorflow_datasets ( tfds) defines a collection of datasets ready-to-use with TensorFlow. Each dataset is defined as a tfds.core.DatasetBuilder, which encapsulates the logic to download the dataset and construct an input pipeline, as well as contains the dataset documentation (version, splits, number of examples, etc.).

How is a dataset defined in TFDs core?

Each dataset is defined as a tfds.core.DatasetBuilder, which encapsulates the logic to download the dataset and construct an input pipeline, as well as contains the dataset documentation (version, splits, number of examples, etc.). The main library entrypoints are:

How many datapoints are in the Keras dataset?

Dataset It’s about 10000 datapoint and 4 description variables for the regression problem.